AI development company for Gurgaon fintech & enterprise.

We do not operate a separate Gurgaon office today — everyone on the delivery bench sits at the Mohali HQ, which keeps the team senior and stable instead of splitting it across satellite offices staffed with juniors to cover the headcount. For Gurgaon clients who require on-site presence, we travel for kickoff, quarterly milestone reviews, and security walk-throughs, scheduling additional on-site days when a GCC's global infosec team wants an in-person architecture review before sign-off. Most Gurgaon engagements run twice-weekly Zoom demos as the default cadence, with on-site days layered on top for compliance-heavy BFSI and GCC work specifically.

Yes. We deliver to Fortune 500 GCCs in Gurgaon for internal AI rollouts — multi-tenant copilots, document intelligence, agentic ops — with the audit trails, SSO, and security controls that a global parent organisation's infosec team expects from any vendor touching internal systems. SOC 2-aligned engagement practices are standard, and BAAs are signed for healthcare-adjacent GCC work. GCC procurement cycles tend to run longer than a typical SaaS engagement's — multiple stakeholder sign-offs, a global security questionnaire, sometimes a formal RFP — and we build that lead time into the scoping conversation rather than pretending a six-week build starts the day we first talk.

Yes. We've shipped KYC automation, fraud signal extraction, and compliance copilots with deterministic outputs where RBI, SEBI, or IRDAI regulations demand an auditable, non-hallucinating answer rather than a probabilistic one. Every model and tool call is audit-logged with input, output, and operator identity, so a compliance officer can reconstruct exactly what the system did and why during a regulatory examination. Deployable to your VPC or on-prem hardware; AWS ap-south-1 (Mumbai) is supported for India data residency, and we self-host Llama 3 on vLLM for clients whose regulator or internal policy prohibits routing financial data through a third-party inference API.

Most v1 enterprise engagements at Aiinfox land between ₹40 lakh and ₹1.2 crore ($50,000 to $150,000) fixed-price. Fintech-specific AI builds with regulator-facing audit requirements — deterministic-output compliance copilots, transaction-monitoring systems — typically reach ₹1.5-2.5 crore over 4-6 months once the compliance validation cycle and a security review are factored into the timeline. Pilots are ₹10-15 lakh with acceptance criteria written into scope before kickoff, so there's no ambiguity between what a demo shows and what production actually needs to do.

Yes. Aiinfox is a registered Indian entity with full GST compliance. Gurgaon (Haryana) clients receive IGST invoices, since Punjab to Haryana is an inter-state transaction under GST rules. Payment in INR via NEFT, RTGS, or UPI is standard, and Net-30 terms apply for established engagements with a signed MSA. For GCC clients billing back to a global parent, we can structure invoicing to match whatever internal cost-centre or purchase-order process your finance team requires.

Yes. We deploy to on-prem hardware inside your Gurgaon data centre, a single-tenant cloud account you control, or our managed cloud — whichever your infosec policy mandates. AWS ap-south-1 (Mumbai) is the default India region; GCP asia-south2 (Delhi NCR) is available as the shortest in-region hop for Gurgaon specifically, since it's the closest hyperscaler presence to the NCR corridor. For BFSI and GCC clients whose global security standard prohibits routing anything customer- or financial-data-related through a third-party inference API, we self-host Llama 3 on vLLM inside your own environment instead. SSO integrates via SAML or OIDC, and audit logs export in a format your compliance team can feed straight into its own review process.

Three differences matter most in a market this GCC-heavy: we staff every engagement with senior engineers only, we write the eval harness before the prompt instead of after a launch incident forces the issue, and we quote a fixed six-week price with the overrun cost on us if we miss it. Most Gurgaon AI agencies either bill timesheets — so you carry the schedule risk — or are effectively downstream contractors of a global parent company's own GCC team, which means less flexibility on scope and pricing than an independent vendor can offer. We're a senior bench shipping production systems at a known price, with no layer of account management between you and the engineer actually writing the code.

We typically work directly with end-clients across BFSI, insurance, BPO, enterprise SaaS, and GCC verticals in Gurgaon — under NDA, which is standard for this market given how compliance-sensitive most of the work is. Client logos and named case studies are shared during scoping calls under mutual NDA once we're past the first conversation. Publicly, our 13 documented case studies show the engineering approach and the business outcomes — citation accuracy, ticket deflection, staff-hours saved — that carry across sectors, even where the specific Gurgaon client relationship stays confidential.

Yes — takeover requests are common in Gurgaon specifically because GCC and BFSI compliance requirements catch out agencies that scoped the build without accounting for the audit and security review at the end. We start by reading everything that exists — the code, the data pipeline, any eval results, the prompts — and for regulated work, checking whether the previous vendor's outputs were ever actually deterministic where the regulator needed them to be. Within the first two weeks we ship a small, visible fix that demonstrates real understanding of the system rather than proposing a re-scope. What comes after depends on what we find: stabilise incrementally, rewrite the components that fail the compliance bar, or restart if the architecture can't be made audit-defensible. Most Gurgaon takeovers we've run needed the audit-logging and guardrail layer rebuilt — the underlying model integration was usually functional but not defensible under regulatory scrutiny.