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Akamai Technologies To Acquire API Security Company Neosec

Combined solutions expected to deliver complete API visibility and security coverage across all of the OWASP API top 10 attacks

SINGAPORE, April 20, 2023 /PRNewswire/ — Akamai Technologies, Inc. (NASDAQ: AKAM), the cloud company that powers and protects life online, today announces that it has entered into a definitive agreement to acquire Neosec, an API detection and response platform based on data and behavioral analytics.

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Neosec’s API security solution will complement Akamai’s market leading application and API security portfolio by dramatically extending Akamai’s visibility into the rapidly growing API threat landscape. The combination is designed to make it easy for customers to secure their API’s by helping them discover all of their APIs, assess their risk, and respond to vulnerabilities and attacks.

“With rapidly accelerating digital transformation, APIs are the new frontier for digital business and the enablement of critical business functions,” said Mani Sundaram, executive vice president and general manager, Security Technology Group, Akamai Technologies. “Enterprises expose full business logic and process data via APIs, which, in a cloud-based economy, are vulnerable to cyberattacks. Neosec’s platform and Akamai’s application security portfolio will allow customers to gain visibility into all APIs, analyze their behavior and protect against API attacks.”

The combined API solutions are expected to put Akamai at the forefront of a critical emerging category of API security for which customers are actively seeking support. The rapidly growing global market for API security solutions is driven by the proliferation of APIs and the associated increase in cybersecurity threats. API-based architectures and microservices are the core of every application developed today, from B2B to web and mobile applications, and therefore are a primary target for attackers. Additionally, regulatory compliance laws such as FFIEC, SOC, GDPR, HIPAA and PCI DSS require enterprises to strengthen their security measures on APIs.

“What sets Neosec apart from other API security providers is the complete visibility into all API activity and the use of behavioral analytics that detect threats others miss,” said Giora Engel, co-founder and chief executive officer, Neosec. “Unlike other solutions, Neosec delivers rich, XDR-like API visibility combined with detection and response capabilities that enable full investigation and threat hunting. Ultimately, Akamai customers will have a better view into all of their API activity, to identify vulnerabilities and threats before they are exposed, and detect attacks in runtime.”

Neosec, headquartered in Palo Alto, California and Tel Aviv, Israel, is a privately funded company. Neosec’s employees, including co-founder and CEO, Giora Engel, and co-founder and chief technology officer, Ziv Sivan, are expected to join Akamai’s Security Technology business.

The acquisition is expected to close in the second quarter of 2023. For the fiscal year 2023, the acquisition is anticipated to be slightly dilutive to non-GAAP EPS by approximately $0.04 to $0.06 and is not expected to add any material revenue. On its next quarterly earnings call currently scheduled for May 9, 2023, Akamai plans to provide first quarter financial results and full year 2023 financial guidance including any expected impact from Neosec.

For more information, visit the Akamai application and API security page.

About Akamai

Akamai powers and protects life online. Leading companies worldwide choose Akamai to build, deliver, and secure their digital experiences — helping billions of people live, work, and play every day. Akamai Connected Cloud, a massively distributed edge and cloud platform, puts apps and experiences closer to users and keeps threats farther away. Learn more about Akamai’s security, compute, and delivery solutions at akamai.com and akamai.com/blog, or follow Akamai Technologies on Twitter and LinkedIn.

Akamai Statement Under the Private Securities Litigation Reform Act

This release contains statements that are not statements of historical fact and constitute forward-looking statements for purposes of the safe harbor provisions under The Private Securities Litigation Reform Act of 1995, including, but not limited to, statements about expectations, plans and prospects of Akamai. Actual results may differ materially from those indicated by these forward-looking statements as a result of various important factors including, but not limited to, the failure of our investments in innovation to generate solutions that are accepted in the market; effects of competition, including pricing pressure and changing business models; impact of macroeconomic trends, including economic uncertainty; conditions and uncertainties in the geopolitical environment; continuing supply chain and logistics costs, constraints, changes or disruptions; defects or disruptions in our products or IT systems, including cyberattacks, data breaches or malware; failure to realize the expected benefits of any of our acquisitions or reorganizations; changes to economic, political and regulatory conditions in the United States and internationally; delay in developing or failure to develop new service offerings or functionalities, and if developed, lack of market acceptance of such service offerings and functionalities or failure of such solutions to operate as expected, and other factors that are discussed in our Annual Report on Form 10-K, quarterly reports on Form 10-Q, and other documents periodically filed with the SEC. In addition, the statements in this press release and on our quarterly earnings conference call represent Akamai’s expectations and beliefs as of the date of this press release. Akamai anticipates that subsequent events and developments may cause these expectations and beliefs to change. However, while Akamai may elect to update these forward-looking statements at some point in the future, it specifically disclaims any obligation to do so. These forward-looking statements should not be relied upon as representing Akamai’s expectations or beliefs as of any date subsequent to the date of this press release.

Use of Non-GAAP Financial Measures

In addition to providing financial measurements based on generally accepted accounting principles in the United States of America (GAAP), Akamai provides additional financial metrics that are not prepared in accordance with GAAP (non-GAAP financial measures). Management uses non-GAAP financial measures to understand and compare operating results across accounting periods, for financial and operational decision making, for planning and forecasting purposes, to measure executive compensation and to evaluate Akamai’s financial performance. The non-GAAP financial measure used in this release is non-GAAP net income per diluted share.

Management believes that this non-GAAP financial measure reflects Akamai’s ongoing business in a manner that allows for meaningful comparisons and analysis of trends in the business, as it facilitates comparing financial results across accounting periods and to those of our peer companies. Management also believes that this non-GAAP financial measure enables investors to evaluate Akamai’s operating results and future prospects in the same manner as management. The non-GAAP net income per diluted share metric may exclude expenses and gains that may be unusual in nature, infrequent or not reflective of Akamai’s ongoing operating results.

This non-GAAP financial measure does not replace the presentation of Akamai’s GAAP financial results and should only be used as a supplement to, not as a substitute for, Akamai’s financial results presented in accordance with GAAP. For historical non-GAAP measures, Akamai has provided a reconciliation of each non-GAAP financial measure used in its financial reporting and investor presentations to the most directly comparable GAAP financial measure. These reconciliations can be found under the caption “Reconciliation of GAAP to Non-GAAP Financial Measures” on the Investor Relations section of Akamai’s website.

Akamai provides forward-looking statements in the form of guidance during its quarterly earnings conference calls.  This guidance is provided on a non-GAAP basis and cannot be reconciled to the closest GAAP measure without unreasonable effort because of the unpredictability of the amounts and timing of events affecting the items we exclude from non-GAAP measures. For example, stock-based compensation is unpredictable for Akamai’s performance-based awards, which can fluctuate significantly based on current expectations of future achievement of performance-based targets. Amortization of intangible assets, acquisition-related costs and restructuring costs are all impacted by the timing and size of potential future actions, which are difficult to predict. In addition, from time to time, Akamai excludes certain items that occur infrequently, which are also inherently difficult to predict and estimate. It is also difficult to predict the tax effect of the items we exclude and to estimate certain discrete tax items, like the resolution of tax audits or changes to tax laws. As such, the costs that are being excluded from non-GAAP guidance are difficult to predict and a reconciliation or a range of results could lead to disclosure that would be imprecise or potentially misleading. Material changes to any one of the exclusions could have a significant effect on our guidance and future GAAP results.

Akamai’s definition of the non-GAAP measure used in this press release is outlined below:

Non-GAAP net income per diluted share – Non-GAAP net income divided by weighted average diluted common shares outstanding. Diluted weighted average shares outstanding are adjusted in non-GAAP per share calculations for the shares that would be delivered to Akamai pursuant to the note hedge transactions entered into in connection with the issuances of $1,150 million of convertible senior notes due 2027 and 2025, respectively. Under GAAP, shares delivered under hedge transactions are not considered offsetting shares in the fully-diluted share calculation until they are delivered. However, the company would receive a benefit from the note hedge transactions and would not allow the dilution to occur, so management believes that adjusting for this benefit provides a meaningful view of operating performance. With respect to the convertible senior notes due in each of 2027 and 2025, unless Akamai’s weighted average stock price is greater than $116.18 and $95.10, respectively, the initial conversion price, there will be no difference between GAAP and non-GAAP diluted weighted average common shares outstanding.

Non-GAAP net income – GAAP net income adjusted for the following tax-affected items: amortization of acquired intangible assets; stock-based compensation; amortization of capitalized stock-based compensation; acquisition-related costs; restructuring charges; amortization of debt discount and issuance costs; amortization of capitalized interest expense; certain gains and losses on investments; income and losses from equity method investment; and other non-recurring or unusual items that may arise from time to time.

The non-GAAP adjustments, and Akamai’s basis for excluding them from non-GAAP financial measures, are outlined below:

• Amortization of acquired intangible assets – Akamai has incurred amortization of intangible assets, included in its GAAP financial statements, related to various acquisitions Akamai has made. The amount of an acquisition’s purchase price allocated to intangible assets and term of its related amortization can vary significantly and is unique to each acquisition; therefore, Akamai excludes amortization of acquired intangible assets from its non-GAAP financial measures to provide investors with a consistent basis for comparing pre- and post-acquisition operating results.

• Stock-based compensation and amortization of capitalized stock-based compensation – Although stock-based compensation is an important aspect of the compensation paid to Akamai’s employees, the grant date fair value varies based on the stock price at the time of grant, varying valuation methodologies, subjective assumptions and the variety of award types. This makes the comparison of Akamai’s current financial results to previous and future periods difficult to interpret; therefore, Akamai believes it is useful to exclude stock-based compensation and amortization of capitalized stock-based compensation from its non-GAAP financial measures in order to highlight the performance of Akamai’s core business and to be consistent with the way many investors evaluate its performance and compare its operating results to peer companies.

• Acquisition-related costs – Acquisition-related costs include transaction fees, advisory fees, due diligence costs and other direct costs associated with strategic activities, as well as certain additional compensation costs payable to employees acquired from the Linode acquisition if employed for a certain period of time. The additional compensation cost was initiated by and determined by the seller, and is in addition to normal levels of compensation, including retention programs, offered by Akamai. Acquisition-related costs are impacted by the timing and size of the acquisitions, and Akamai excludes acquisition-related costs from its non-GAAP financial measures to provide a useful comparison of  operating results to prior periods and to its peer companies because such amounts vary significantly based on the magnitude of the acquisition transactions and do not reflect Akamai’s core operations.

• Restructuring charges – Akamai has incurred restructuring charges from programs that have significantly changed either the scope of the business undertaken by the Company or the manner in which that business is conducted. These charges include severance and related expenses for workforce reductions, impairments of long-lived assets that will no longer be used in operations (including right-of-use assets, other facility-related property and equipment and internal-use software) and termination fees for any contracts canceled as part of these programs. Akamai excludes these items from its non-GAAP financial measures when evaluating its continuing business performance as such items vary significantly based on the magnitude of the restructuring action and do not reflect expected future operating expenses. In addition, these charges do not necessarily provide meaningful insight into the fundamentals of current or past operations of its business.

• Amortization of debt discount and issuance costs and amortization of capitalized interest expense – In August 2019, Akamai issued $1,150 million of convertible senior notes due 2027 with a coupon interest rate of 0.375%. In May 2018, Akamai issued $1,150 million of convertible senior notes due 2025 with a coupon interest rate of 0.125%. The imputed interest rates of these convertible senior notes were 3.10% and 4.26%, respectively. This is a result of the debt discounts recorded for the conversion features that, prior to January 1, 2022, were required to be separately accounted for as equity under GAAP, thereby reducing the carrying value of the convertible debt instruments. The debt discounts were amortized as interest expense. On January 1, 2022, Akamai adopted the new guidance for accounting for convertible instruments. This new guidance eliminated separate accounting for the equity portion, and thus the amortization of the debt discount that was recorded as interest expense.  Prior to January 1, 2022, Akamai excluded this non-cash interest expense from its non-GAAP results because it was not representative of ongoing operating performance.  After January 1, 2022, this interest expense is no longer included in or excluded from GAAP or non-GAAP results. Additionally,  the issuance costs of the convertible senior notes are amortized to interest expense and are also excluded from Akamai’s non-GAAP results because management believes the non-cash amortization expense  is not representative of ongoing operating performance.

• Gains and losses on investments – Akamai has recorded gains and losses from the disposition, changes to fair value and impairment of certain investments. Akamai believes excluding these amounts from its non-GAAP financial measures is useful to investors as the types of events giving rise to these gains and losses are not representative of Akamai’s core business operations and ongoing operating performance

• Income and losses from equity method investment – Akamai records income or losses on its share of earnings and losses from its equity method investment. Akamai excludes such income and losses because it does not have direct control over the operations of the investment and the related income and losses are not representative of its core business operations.

• Income tax effect of non-GAAP adjustments and certain discrete tax items – The non-GAAP adjustments described above are reported on a pre-tax basis. The income tax effect of non-GAAP adjustments is the difference between GAAP and non-GAAP income tax expense. Non-GAAP income tax expense is computed on non-GAAP pre-tax income (GAAP pre-tax income adjusted for non-GAAP adjustments) and excludes certain discrete tax items (such as recording or releasing of valuation allowances), if any. Akamai believes that applying the non-GAAP adjustments and their related income tax effect allows Akamai to highlight income attributable to its core operations.

Contacts

Gary Ng/Amanda Sng

Archetype Singapore

akamaihub-sg@archetype.co

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Simplilearn and Saïd Business School, University of Oxford, Partner To Launch Three AI-Focused Programmes To Equip Leaders for Enterprise Transformation

Launch of three programmes addressing critical AI talent shortage through accessible, practice-led learning in business analytics, strategic decision-making and cyber-resilient transformation

PLANO, Texas, March 18, 2026 /PRNewswire/ — Simplilearn, a leading digital skills training provider, has partnered with Saïd Business School, University of Oxford, to launch three AI-focused programmes for professionals leading AI integration within their organisations. The programmes – Oxford Programme in AI and Business Analytics; Oxford Programme in Strategic Analysis and Decision-Making with AI; and Oxford Programme in Cyber-Resilient Digital Transformation – are designed to address the widening AI talent gap and train leaders with the frameworks and technical fluency required to lead responsible AI integration at scale.

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As artificial intelligence transforms industries at an unprecedented velocity, organisations face acute shortages of experienced professionals capable of translating AI capabilities into business value while managing associated risks. According to a recent McKinsey report, 88% of companies now use AI regularly in at least one business function, up from 78% last year, yet less than a third of executives feel their organisations have adequate AI talent to execute strategic initiatives effectively. These programmes address this critical gap by preparing professionals with the strategic frameworks, ethical considerations and practical implementation capabilities required to lead AI integration initiatives that deliver measurable business impact.

Speaking about the programmes, Kashyap Dalal, Co-founder and COO of Simplilearn, said: “AI has moved from experimental adoption to become foundational infrastructure across every sector, yet the leadership skills required to harness its potential responsibly remain scarce. Our partnership with Saïd Business School, University of Oxford, reflects our commitment to making advanced AI education more accessible and bringing industry and academia closer together.

The curriculum is built to develop strategic judgement, governance frameworks and implementation capabilities to lead enterprise-wide AI transformation with confidence. As AI reshapes competitive dynamics and operational models, organisations need leaders who can translate analytics into strategy, integrate AI responsibly into decision-making frameworks and build cyber-resilient digital infrastructures. By making the School’s world-class faculty expertise accessible through flexible, online formats designed for professionals worldwide, we are addressing a critical market need while advancing our mission to develop future leaders who lead responsibly and effectively.”

The three programs collectively form a comprehensive AI leadership curriculum addressing complementary dimensions of AI-enabled business transformation:

  • Oxford Programme in AI and Business Analytics focuses on translating descriptive, predictive and prescriptive analytics into strategic business decisions, preparing leaders to bridge the divide between data science and boardroom strategy through real-world case studies, including Hartford HealthCare and the Rialto e-commerce capstone project.
  • The Oxford Programme in Strategic Analysis and Decision-Making with AI enables professionals to strengthen their strategic thinking capabilities by leveraging AI as a decision-support partner, exploring frameworks such as PESTEL analysis and Porter’s Five Forces and using generative AI tools for scenario planning, competitive analysis and evidence-based recommendation development.
  • The Oxford Programme in Cyber-Resilient Digital Transformation addresses the critical imperative of embedding cyber-risk thinking into AI-powered enterprises, teaching leaders to evaluate emerging technologies, protect critical assets and communicate technology risks effectively at the board and executive levels.

Designed using evidence-based learning principles grounded in the Universal Design for Learning framework, the programme is developed by Oxford Saïd faculty and includes self-paced modules alongside live sessions that support applied learning and practical application. This approach offers flexibility for working professionals while maintaining strong academic rigour and practical relevance.

Commenting on the partnership, Rishad Lilani, Associate Director, Oxford Saïd Online, at Saïd Business School, University of Oxford, said: “The collaboration with Simplilearn represents a strategic alignment between academic excellence and global accessibility in addressing responsible AI integration at an organisational level. Cybersecurity, strategic analytics and AI-driven decision-making are core leadership imperatives that require judgement, ethical frameworks and the confidence to navigate uncertainty. With these programmes, we are equipping leaders with the analytical rigour, human-in-the-loop oversight principles and cross-functional integration capabilities required to drive digital transformation that withstands executive and board-level scrutiny while creating measurable business value.”

Learners will earn a certificate of attendance from Saïd Business School, University of Oxford, upon successful completion of the programme, subject to meeting the requirements outlined in the programme orientation module. They will also join the Oxford Saïd elumni community, a global network of over 50,000 professionals across more than 195 countries, with access to exclusive resources, events and opportunities.

These programmes are designed for professionals in strategic, leadership, or management roles. This includes business managers and functional leaders, strategy and transformation professionals, analytics and business intelligence leaders, consultants advising on AI-driven change, product and digital and technology leaders responsible for enterprise AI initiatives.

About Saïd Business School

Saïd Business School is a vibrant and innovative school, embedded within the University of Oxford, offering accredited degrees and diplomas for undergraduates and postgraduates and a broad portfolio of on-campus and online courses for business executives. The School educates global business leaders, change makers and innovators across every industry and sector. Its ground-breaking research and exceptional teaching transforms individuals, who transform businesses, which transforms the world and creates impact from within.

In partnership with Simplilearn, the School’s professional programmes are promoted and delivered to professionals worldwide through a high-quality digital learning experience. This partnership brings together Oxford’s academic excellence and Simplilearn’s digital learning strengths, offering a transformative and future-ready learning journey for aspiring leaders.

About Simplilearn

Founded in 2010, Simplilearn, a Blackstone portfolio company, is a global leader in digital upskilling, enabling learners across the globe with access to world-class training for individuals and businesses. Simplilearn offers 1,500+ live classes each month across 150+ countries, impacting over 8 million learners worldwide. Its programs are designed and delivered in collaboration with world-renowned universities, top corporations and leading industry bodies. From early-career professionals to managers, executives, small businesses and large enterprises, Simplilearn’s role-based, skill-focused, industry-recognized and globally relevant training programs provide ideal upskilling solutions for diverse career or business goals.

For more information, please visit www.simplilearn.com

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Agentic Marketing Will Redesign How Growth Decisions Are Made

Rajesh Jain, MD & Founder at Netcore Cloud explains why Agentic Marketing will redefine growth, retention, and customer economics

MUMBAI, India, March 18, 2026 /PRNewswire/ — Marketing technology is entering a new phase as artificial intelligence moves beyond automation toward autonomous decision-making. According to Rajesh Jain, Founder and MD of Netcore Cloud, the next evolution of marketing lies in Agentic Marketing, where autonomous systems continuously evaluate customer signals and take action to optimise outcomes such as revenue, profit, lifetime value, and retention.

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“For nearly two decades, martech has been paying revenue tax for acquiring the same set of customers and customers that they didn’t really lose,” Jain said. “At Netcore, our North Star is simple: Never lose customers. Never pay twice. Never pay fixed. Our agentic marketing efforts are built to deliver exactly that.”

Jain explained that earlier martech systems largely focused on automation by scaling workflows, improving targeting, manual segmentation, A/B testing, and orchestrating channels more efficiently. While automation improved productivity, it did not fundamentally change how decisions were made. Humans still defined the rules in advance and systems executed them at scale.

Agents with agency represent a structural shift. An agentic system does not rely solely on predefined rules or static workflows. Instead, it evaluates context in real time, interprets behavioural signals, weighs economic trade-offs, and determines the next best action based on defined outcomes such as revenue, profit, lifetime value, or retention. It also learns from past interactions and continuously refines its decision-making within governance boundaries.

“The difference between AI-enabled and agentic is authority,” Jain noted. “Many systems today provide recommendations. An agentic system has the authority to act autonomously within guardrails. It closes the loop between insight and execution. This transition moves marketing from programmed execution to autonomous optimisation.”

Jain also emphasised that Agentic Marketing changes the economics of growth. Digital marketing over the past decade prioritised scale, often at the expense of relevance. Acquisition became easier through platforms, but dependence on paid channels increased. Retention remained under-optimised, and discounts were frequently deployed broadly rather than with precision.

Agentic Marketing introduces economic intelligence at the level of each customer interaction. Every decision whether and when to intervene, which channel to use, what incentive to offer, and how much budget to allocate can be evaluated based on past purchasing behaviours rather than aggregate averages.

This has three important effects. Effective customer acquisition cost declines because better retention reduces the need for reacquisition. Lifetime value expands because engagement becomes continuous and adaptive rather than episodic. Discounting becomes precise, protecting margins.

“When customer relationships compound over time, the value created is measurable in incremental revenue, higher contribution margins, and reduced reacquisition spend,” Jain said.

While the shift begins with AI capabilities, Jain argues that Agentic Marketing ultimately represents a redesign of how marketing organisations operate. Campaigns and workflows evolve from episodic initiatives into continuous decision systems aligned to clear business outcomes.

“If treated as a purely technology-led shift layered onto existing structures without changing how decisions, metrics, and accountability work, agentic marketing will underdeliver,” he said. “Agentic Marketing is not a tool adoption decision. It is a redesign of how growth decisions are made inside the company.”

The industry’s heavy investments in predictive intelligence have not yet translated into proportional growth outcomes, Jain added, largely because of execution latency. Generative AI systems often generate insights, but humans still need to interpret those insights, coordinate across teams, build campaigns, and deploy changes. Markets, however, operate in real time.

“Intelligence without authority to act does not create a compounding advantage,” Jain said. “Agentic Marketing integrates prediction and execution within a governed system. The same intelligence that detects opportunity can initiate action immediately.”

Autonomy, he noted, must remain structured. CMOs define the outcomes, strategic intent, risk tolerance, and brand constraints that become the guardrails for agentic systems. Humans remain responsible for objectives and compliance, while agents handle micro-decisions at scale, including timing, sequencing, offer calibration, and channel selection.

Agentic Marketing also changes the role of campaigns. Campaign-centric marketing was designed for a broadcast era and assumes engagement happens in bursts. Customer behaviour today is continuous and dynamic, requiring persistent optimisation rather than episodic interventions.

One of the most overlooked inefficiencies in digital marketing, Jain said, is reacquisition spend. Brands often allow engagement to weaken and then rely on paid platforms to win customers back.

Agentic systems continuously monitor behavioural signals, purchase cycles, and engagement decay, allowing brands to intervene early through owned channels when signs of churn appear. Over time, this shifts growth from rented channels to stronger direct customer relationships.

In this environment, Jain believes the role of the CMO will evolve significantly. “In an agentic marketing world, the next generation CMO will stand out not because they run better campaigns, but because they build better systems.”

Future CMOs will focus on profit ownership measuring retention, contribution margin, and customer lifetime value rather than clicks or campaign metrics. They will also define the governance structures within which autonomous agents operate.

“In simple terms,” Jain said, “the next-generation CMO is not just a marketer. They are a systems designer, an AI orchestrator, and a profit leader turning marketing from a cost centre into a true growth engine.”

About Netcore Cloud

Netcore Cloud, a leading agentic marketing platform, leverages its comprehensive Customer Engagement Suite to create personalised, omnichannel experiences. Leveraging AI to analyse customer data, Netcore enables targeted segments and meaningful digital interactions. Trusted by over 6,500 brands across sectors like Ecommerce, Retail, Banking and Financial Services, Media and Entertainment, and Travel, its marquee clients include Walmart, Unilever, Tommy Hilfiger, Domino’s, McDonald’s, Pizza Hut, and Crocs. Netcore Cloud is appraised at Level 3 of ISACA’s CMMI® by Equalitas Certifications Limited, reaffirming its commitment to process excellence. Netcore Cloud has also been recognised in G2’s Best Software Awards 2026, ranking among the Best Software Companies in APAC and India, based entirely on verified customer reviews and satisfaction scores. For more information, visit netcorecloud.com

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Bengaluru-based TerraTern Emerges As a Global Hub for AI-Powered Immigration, Work & Study Abroad Guidance

BANGALORE, India, March 17, 2026 /PRNewswire/ — Since the advent of artificial intelligence is transforming global mobility and global education processes, TerraTern, a technology platform based in Bengaluru, is spearheading the immigration-tech transformation in India. Within less than two years, this AI-native platform has combined intelligent automation with certified human expertise to solve complex global talent mobility challenges for Indian professionals. With a 99.7% visa success rate and over 3 million lives impacted, TerraTern demonstrates how technology can democratize access to international opportunities.

Visionary Direction and Rapid Growth

Founded by serial entrepreneur Divyansh Chaudhari, former co-founder of IELTSMaterial.com (acquired by CollegeDekho Group in 2022), TerraTern brings deep edtech and immigration expertise to the mobility sector. The company has achieved remarkable milestones:

  • 10,000+ visas approved through AI-optimised pathways
  • 8,000+ job interviews secured via intelligent matching algorithms
  • 100+ services covering 30+ countries
  • 120+ specialised team members combining tech and immigration expertise

These metrics reflect not just growth, but the increasing demand in 2026 for structured, technology-enabled global mobility solutions that eliminate guesswork and delays.

How TerraTern’s AI Technology Transforms Immigration

The proprietary technology created by TerraTern covers all parts of the immigration process using five fundamental innovations:

  1. Smart Eligibility Check: Engine evaluates several data points – age, education qualifications, language scores, work experience, and country-specific point systems to present real-time and accurate eligibility checkouts in less than 3 minutes in 30-plus destinations.
  2. Artificial Intelligence-based Job Matching: It applies predictive analytics to compare the profiles of the candidates with real-time job databases worldwide to find an opportunity based on skills and immigration friendly employers. This has facilitated 8000 plus job interviews, in many cases, prior to the arrival of the candidates in their host country.
  3. Automated Document Verification: This is based on optical character recognition (OCR) and natural language processing (NLP) to scan and verify as well as highlight inconsistencies in application material. Absent documents and formatting mistakes are spotted by the AI and prevented according to submission, which minimises the rejection rate.
  4. Real-time Tracking of Applications: It offers personalised dashboards that are aligned to government processing schedules. It has automated alerts that inform clients of changes in status and impending deadlines, which is proactive case management.
  5. Predictive Analytics: It uses previous case history to estimate the probability of approval and suggests potential strategic options, like improving language scores or alternative routes, prior to the filing of an application. TerraTern has a 99.7% success rate, and this is supported by this data-driven approach.

The Human + AI Advantage

As much as automation promotes efficiency, TerraTern understands that complex cases need human decisions as far as immigration is concerned. The platform integrates AI to instantly screen the eligibility, verify the documents, and track the deadline with human experts to customise the strategy and interpret policies and review compliance. This is a hybrid model that provides technology speed and the assurance of experienced immigration professionals.

Comprehensive Service Portfolio

TerraTern offers AI-enabled services across multiple verticals: immigration services including Express Entry and PR pathways, work overseas programs featuring job seeker visas and Ausbildung programs in Germany, study abroad guidance for 30+ countries, language preparation with AI-powered practice tools, post-landing integration support, family reunification services, and investment immigration programs. For Canada, they optimise Express Entry CRS scores and Provincial Nominee Programs. Australia’s services include Skilled Independent visas and regional migration strategies. Germany pathways feature the EU Blue Card, Opportunity Card, and healthcare worker routes. Additional expertise covers Austria’s Job Seeker Visa and PR pathways for the UAE, Portugal, Sweden, and New Zealand.

ICU Nurse  Priya in Pune opted to follow the Ausbildung pathway in Germany after the AI tool offered by TerraTern suggested training programs and matched them to her healthcare background. She claimed that the Germany-specific guidance on the platform was the most significant; she was guided on the details of the B2 language needs, the dual education system was explained using simple terms, and even showed the contacts of employers who offered apprenticeship contracts even before she applied for a visa. In 4 months, she received her training contract and visa. She said that had TerraTern not provided a country-specific breakdown, she would have wasted her time by posting adverts to generic job boards that were not familiar with the special Ausbildung system of Germany.

Industry Credentials and Partnerships

TerraTern’s technology is validated by industry-leading certifications. The team includes British Council-certified experts, IDP IELTS and CELTA-certified trainers, IID-certified immigration professionals, and International Migration Law specialists (IOM-UN Migration-certified). While talking to the Senior management, Achuth Reena added that Strategic partnerships with RCIC (Regulated Canadian Immigration Consultants), MARA-registered agents for Australian applications, Pearson PTE, and the Indo-German and Indo-American Chamber of Commerce strengthen the vision of bringing transparency to immigration processes.

Technology-driven Results

TerraTern’s 99.7% success rate stems from its AI-first approach that only advances high-probability cases. Recent outcomes include experienced professionals relocating through AI-optimised CRS improvements, tech talent securing pre-landing job interviews, healthcare workers accessing Ausbildung pathways in Germany, and students selecting optimal programs based on AI-driven ROI analysis. The platform’s predictive analytics eliminates the trial-and-error approach common in traditional consulting.

Leading the Future of Digital Immigration

As governments worldwide integrate AI into immigration processing, TerraTern has positioned itself ahead by building AI-native processes rather than digitising outdated workflows. The platform creates modern client experiences matching digital-first professionals’ expectations for instant information, transparency, and control.

TerraTern invites professionals, students, and families to begin their global journey with a free AI-powered eligibility assessment. As AI reshapes global immigration, TerraTern stands as the trusted partner turning international ambitions into data-backed, achievable realities.

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