AI development company for Delhi NCR — enterprise, fintech, government.

Our India HQ is in Mohali (Punjab) — Office No. 401, Vista Towers, Sector 75 — a 4-hour drive or roughly 1-hour flight from Delhi NCR. We work with Delhi, Gurgaon, Noida, Faridabad, and Ghaziabad clients primarily over Zoom, running twice-weekly demos plus quarterly on-site visits for enterprise engagements. For engagements with sensitive scope — BFSI compliance builds, government-adjacent deployments, healthcare PHI work — we schedule additional on-site days for kickoff, architecture review, and the security walk-through most enterprise infosec teams require before signing off on a new AI vendor.

We do not operate a separate Delhi office today — our India team works from the Mohali HQ to maintain a single, senior engineering bench rather than a distributed contractor pool split across multiple city offices. For Delhi NCR clients who require regular on-site presence, we factor travel and dedicated on-site days directly into the scope document rather than charging it as an ad-hoc expense. Most enterprise clients get quarterly on-site milestone reviews as standard; clients running BFSI or government-adjacent compliance work typically add one or two additional on-site security walk-throughs during the build phase.

Yes. Our standard data handling is built to the Digital Personal Data Protection Act, 2023 (DPDP Act) framework — notice and consent capture at intake, data-minimisation by default, and breach-notification workflows mapped to the Data Protection Board of India's process. For clients large enough to qualify as a Significant Data Fiduciary — high-volume processing, cross-border transfer, or sensitive categories of personal data — we add independent-audit-ready logging and Data Protection Impact Assessment support. We are also GDPR-aligned for EU data and HIPAA-aligned for healthcare PHI, sign BAAs for healthcare engagements and DPAs for any engagement touching personal data, and support on-prem deployment for clients requiring zero data egress.

Most v1 enterprise engagements at Aiinfox land between ₹50 lakh and ₹1 crore ($60,000 to $120,000) fixed-price for a focused AI build — an agent, a RAG system, or a document-intelligence pipeline with defined acceptance criteria. Multi-phase enterprise rollouts with ongoing tuning, evals, and an on-call retainer typically reach ₹2-5 crore over 12-18 months once a v1 proves out and a client expands scope to a second or third use case. Pilots are usually ₹8-15 lakh and include acceptance criteria written into scope before we start, so there's no ambiguity about what "done" means at the end of six weeks.

Yes. On-prem on customer hardware, single-tenant cloud (AWS, Azure, GCP — including AWS ap-south-1 in Mumbai and GCP asia-south2 in Delhi NCR itself for in-region residency), or our managed cloud. Self-hosted Llama 3 on vLLM is standard for clients with strict data-egress policies who cannot route inference through a third-party API. SSO via SAML or OIDC integrates with your existing identity provider. Audit logs covering every model and tool call are exportable in a format your security team can feed directly into its own SIEM or compliance review process.

Yes. Aiinfox is a registered Indian entity with full GST compliance. Delhi NCR clients pay in INR via NEFT, RTGS, or UPI. GST invoices include IGST, since Punjab to Delhi, Haryana, or Uttar Pradesh is an inter-state transaction under GST rules. Net-30 terms are standard for established engagements with a signed MSA; pilots and first engagements are typically structured as 50% upfront and 50% on acceptance, so both sides carry proportional risk during the first six weeks before a longer relationship is established.

Senior-only delivery, eval-first engineering discipline, a fixed-price six-week target, and the overrun cost on us if we miss. Most Delhi AI agencies either bill timesheets — which means you carry the schedule risk if the build runs long — or sell a deck-and-discovery engagement that hands you a strategy document instead of shipped code. We write the eval harness before the prompt, ship a working v1 in six weeks, and hand over runbooks your own team can operate without us. If a Delhi agency's proposal reads like a research report, ours reads like a scope of work with a price attached.

BFSI (banks, NBFCs, insurance) is the largest inbound segment, followed by enterprise SaaS, telco, healthcare hospital chains, and Delhi-based government-adjacent organisations navigating DPDP-aligned data handling. We are not the right fit for digital agencies looking to white-label an AI chatbot for their own client roster — we work directly with end-clients who own the outcome and the compliance responsibility. If your business sits outside these sectors, we'll say so on the first call rather than take the engagement and figure it out mid-build.

Yes — takeover audits are a routine part of our Delhi NCR pipeline, usually arriving after a first vendor either missed a deadline or shipped something that failed a security review. Step one is reading everything: the code, the data pipelines, whatever eval results exist, the prompts, and the previous vendor's invoice history against what was actually delivered. Step two is shipping the smallest change that proves we understand the system better than the previous vendor did — usually inside the first two weeks. Step three is the honest longer-term call: incremental stabilisation, a targeted rewrite of the broken components, or a full restart if the foundation genuinely can't carry the roadmap. Most Delhi NCR takeovers we've run didn't need a full rewrite — the data pipeline and the prompts were salvageable; the eval harness and guardrails were what was actually missing.