G.E.T AI Labs partners with Indian IT services, engineering R&D, and Global Capability Centre firms as an applied-AI research and evaluation partner — research depth and evaluation rigor to complement delivery scale. Our distributed team includes a deep South Asia concentration, so we collaborate in-region, in IST.
India runs the largest IT / ITeS and engineering R&D (ER&D) services base in the world. The major firms — TCS, Infosys, Wipro, HCL Technologies, Tech Mahindra, and LTIMindtree — operate at a delivery scale no other country matches, alongside more than 1,600 Global Capability Centres (GCCs) running captive technology and R&D for global enterprises. NASSCOM is the industry body that represents the sector.
The work concentrates in a handful of hubs — Bengaluru, Hyderabad, Pune, Chennai, Gurugram and the wider NCR, and Mumbai. The strategic shift underway across the sector is the move up the value chain: away from staff-augmentation and headcount-based delivery, toward higher-value applied AI and R&D. That shift is exactly where independent research depth and evaluation rigor become useful — as a complement to delivery scale, not a substitute for it.
IT services HQ cluster, GCCs, product and platform engineering
The country's largest technology hub and the headquarters base for much of the IT services and Global Capability Centre activity, with the deepest concentration of applied-AI engineering talent.
GCCs, enterprise R&D, cloud and data engineering
A fast-growing centre for Global Capability Centres and enterprise R&D, with large captive technology operations for global firms.
Engineering R&D (ER&D), automotive and industrial software
A strong engineering R&D base, with particular depth in automotive, industrial, and embedded-systems software work.
IT services delivery, BFSI technology, manufacturing software
A major IT services delivery centre with deep banking, financial-services, and manufacturing-technology activity.
Consulting, GCCs, BFSI and enterprise technology
Part of the National Capital Region cluster, with a heavy concentration of consulting firms, captive centres, and enterprise technology operations.
Financial services, enterprise adoption, data-driven products
India's financial capital and a centre of enterprise AI adoption, where regulated-industry deployment matters more than frontier research.
Company names above are ecosystem context only. G.E.T AI Labs does not imply any of these firms are clients.
G.E.T AI Labs is not a delivery competitor to India's large IT and engineering firms. It is the research layer beneath a specific, scoped question — independent evaluation, applied research, a prototype, a second opinion — that a firm can put to work without handing over the client relationship or the production delivery it already owns.
An independent assessment of an AI deliverable against real data and defined criteria — so a firm can prove its AI work to its own end-client with third-party rigor behind it. The evaluation is the product; the firm keeps the client relationship and the delivery.
Research on the hard technical questions that precede a build — the ones where a wrong answer is expensive at delivery scale. G.E.T supplies the depth on a scoped question; the firm carries it into production.
A working prototype or a feasibility study that de-risks a direction before a firm commits delivery teams to it. Useful when a client is asking for something the firm has not yet proven at scale.
An independent technical review of an AI system, vendor, or architecture — a second opinion a firm can put in front of its own client, its investment committee, or a target it is assessing in a deal.
Structured research collaboration for Global Capability Centres and engineering R&D groups that want applied-AI depth on a specific problem without standing up a permanent research function for a single question.
Across all of the above, the operating principle is the same: research depth and evaluation rigor as a complement to delivery scale. G.E.T does not compete for a firm's delivery capacity — it strengthens the firm's hand on the questions that benefit from an independent research layer.
The line is deliberate: research depth and evaluation rigor as a complement to delivery scale. A firm stays the prime on its own engagement; G.E.T strengthens its hand on the questions that benefit from an independent research and evaluation layer — and that a firm can stand behind in front of its own client.
India's AI governance is advisory and principles-based today — anchored by the DPDP Act for personal data, a national AI mission, MeitY advisories, and NITI Aayog's responsible-AI principles, with no single hard AI statute yet. We design and evaluate AI systems with these obligations as first-class inputs.
The DPDP Act is India's data-protection law, with its rules being operationalized. It governs how personal data is collected, processed, and protected — a first-class input for any AI system that touches personal data. We design and evaluate systems with DPDP obligations built in from the first phase, not bolted on at the end.
A major national AI programme announced by the Government of India in 2024, with allocation directed at compute, datasets, applications, skilling, and safe-and-trusted AI. It signals the national direction of travel — and the expectation that AI work in India is built responsibly.
The Ministry of Electronics and Information Technology (MeitY) issued advisories on AI in 2024 addressing the deployment of AI systems and intermediary obligations. India's posture here is advisory and evolving rather than a single fixed statute, so design has to track the guidance as it develops.
NITI Aayog published India's National Strategy for Artificial Intelligence (#AIForAll) in 2018, followed by its Responsible AI principles. Together they set the responsible-AI expectations — safety, fairness, transparency, accountability — that we treat as design and evaluation criteria.
India does not yet have a single comprehensive AI statute. The current regime is advisory and principles-based: the DPDP Act for personal data, the IndiaAI Mission for national direction, MeitY advisories, and NITI Aayog's responsible-AI principles. We scope against this real posture rather than a hard rulebook that does not yet exist.
Indian firms routinely deliver to clients in the EU, UK, and US. We design and evaluate AI systems so that DPDP obligations and India's responsible-AI principles sit alongside the GDPR and EU AI Act obligations those end-clients carry — one engagement, both sides of the compliance picture.
This page describes regulatory frameworks in general terms and is not legal advice. G.E.T AI Labs works alongside the firm's counsel on legal determinations.
G.E.T AI Labs is Canadian-anchored and distributed by design — and the team includes a deep South Asia concentration, published on the team page. For an Indian firm, that means collaboration happens in IST, in English, structured to slot alongside delivery work the firm already owns.
There is no India entity and no India office here — that is a deliberate, honest description of the model, not a gap. G.E.T partners with Indian IT, engineering, and technology-consulting firms from a distributed base, and the South Asia bench is what makes the time zones work without anyone keeping odd hours. The practitioners also carry working familiarity with the GDPR, EU AI Act, and US frameworks that Indian firms' global end-clients require — so the research and evaluation account for the obligations those clients carry abroad.
The distributed team includes a genuine South Asia concentration — published on the G.E.T team page — so collaboration happens inside Indian Standard Time. Working sessions, reviews, and turnarounds land in the IST business day, not across an overnight offset.
Every scope, working session, evaluation report, and decision document is produced and delivered in English. There is no translation layer between the people doing the research and the firm's teams acting on it.
Experience structuring research and evaluation engagements that sit beside a firm's existing delivery work — scoped, time-boxed, and handed off cleanly, so the firm stays the prime on its own client relationship.
Familiarity with the GDPR, EU AI Act, and US frameworks (such as the NIST AI Risk Management Framework) that Indian firms' end-clients require — so the research and evaluation account for the obligations the firm's clients carry abroad.
Partnerships with Indian firms draw on the same capabilities as every other G.E.T AI Labs engagement — scoped to a partner model and handed off as client-owned work. The strongest fit is independent evaluation, with research, engineering, and strategy behind it.
AI evaluation services independently benchmark a model or system against real data — the evidence a firm can put in front of its own end-client. Applied AI research answers the hard domain questions that precede a build. LLM engineering builds the prototypes and production components — RAG, agents, fine-tuning, and the pipelines around them. AI strategy consulting frames where applied AI creates durable advantage. Each is available to India partners as a fixed-scope engagement.
Direct answers about the partner model, whether G.E.T is an Indian entity, how it works alongside a large IT or ER&D firm, IST collaboration, the DPDP Act, and how partnerships start.
Yes. Working with Indian IT services firms, engineering R&D (ER&D) firms, Global Capability Centres (GCCs), and technology-consulting firms is a core part of the practice. G.E.T AI Labs engages as an applied-AI research and evaluation partner — a complement to a firm's delivery scale rather than a competitor for it. Typical work includes independent AI evaluation and validation, applied research on hard technical questions, prototype and feasibility studies, and research collaboration that slots alongside a firm's existing client delivery.
No. G.E.T AI Labs is a Canadian-anchored applied AI research lab. It is not registered as an Indian entity, does not maintain an India office, and does not claim named Indian clients or India-specific case studies. Its institutional roots are in Canadian applied-AI research — affiliations with the AI Hub at Durham College in Ontario and the University of Alberta. The team is distributed and remote-first, and it includes a deep South Asia concentration, which is what makes in-region (IST) collaboration with Indian firms practical. The relationship is a partnership with Indian firms, delivered from that distributed base.
As a research and evaluation partner that sits beside the firm's delivery work, not on top of it or in competition with it. A large IT or ER&D firm already owns the scale, the client relationship, and the production delivery. G.E.T contributes the parts that benefit from independent research depth and evaluation rigor: validating an AI deliverable so the firm can prove it to its own end-client, answering a hard technical question that precedes a build, producing a prototype or feasibility study, or providing a second-opinion technical due-diligence review. The firm stays the prime; G.E.T is the research layer underneath a specific, scoped question.
Yes. The team is distributed, and it includes a genuine South Asia concentration — published on the G.E.T team page — so working sessions, reviews, and day-to-day collaboration happen inside Indian Standard Time rather than across an awkward overnight offset. This is a structural feature of the delivery model, not an accommodation arranged case by case. Engagements are run asynchronously by default with written scopes and documented decisions, and live sessions are booked into IST-friendly windows.
G.E.T treats India's Digital Personal Data Protection Act, 2023 (DPDP Act) and India's responsible-AI principles as first-class design and evaluation inputs rather than a compliance footnote. India's posture is currently advisory and principles-based — anchored by the DPDP Act, the IndiaAI Mission, MeitY advisories on AI, and NITI Aayog's National Strategy for Artificial Intelligence and its Responsible AI principles — with no single hard AI statute yet. Because many Indian firms also deliver to global clients, the same engagement accounts for the GDPR and EU AI Act obligations those end-clients carry. Where a question is legal rather than technical, G.E.T works alongside the firm's counsel rather than substituting for it.
The same way every G.E.T AI Labs engagement starts: a free initial conversation to understand the problem, followed by a written scope with defined deliverables, timeline, and a fixed fee before any commitment. For Indian partners that conversation is booked into an IST-friendly window. Many partnerships begin with a contained, fixed-scope piece of work — an independent Systems Evaluation or a two-week Technology Opportunity Mapping — which lets a firm test the working relationship on one scoped question before committing to anything larger. NDAs are available where the work requires them.
Bring us the problem. We will help determine what is possible, what is practical, and what should be built next.
Response within two business days · NDAs available when required
