Generative AI development for US teams that need it to survive production.

Honest answer: our Mohali team runs IST, which gives a native two-to-three-hour window with US Eastern late afternoon. For US clients that need full US-business-hours coverage, we run a dedicated US-hours pod out of our Frisco, TX office and a tech-lead-on-call rotation covering 9am to 6pm Central — not a junior support shift, the same senior engineers building your GenAI system. Twice-weekly demos run in US business hours; written updates land before your standup. If your engagement genuinely cannot survive without same-zone synchronous coverage at all hours, we will say so on the first call so you can pick a US-only consultancy instead.

It depends on the eval bar, the latency and cost budget, and the data residency constraint. Claude Sonnet wins on reasoning-heavy and tool-calling workloads where output quality matters more than per-token cost. GPT-4o wins on multimodal input and is often the cheapest-and-fastest path on broadly capable tasks. Self-hosted Llama 3 70B on vLLM wins when CCPA, HIPAA, or your security review require zero third-party inference egress — the latency and cost trade-off is real, but for regulated workloads it is often the only acceptable path. We benchmark per task on your data, not on a public leaderboard, and pick the cheapest model that clears your eval bar. Vendor loyalty does not ship product.

Our engagement controls are SOC 2-aligned and HIPAA-aligned. We sign BAAs before any PHI is shared, we pin LLM inference to a US region when the engagement requires it, and we will run the entire GenAI build inside your AWS, Azure, or GCP account if your security team requires customer-managed encryption and a zero-egress data path. For clients with strict no-third-party-API requirements, self-hosted Llama 3 70B or 8B on vLLM is supported — the model, the prompt-cache layer, the eval harness, and the observability all run inside your VPC with no inference data leaving your account.

Your call. We default to US-region endpoints — Anthropic US, OpenAI US, or AWS Bedrock US-East-1 / US-West-2 — for US clients. For clients with strict data-residency requirements (federal, healthcare, defense-adjacent), we deploy single-region with no cross-region replication and no inference egress to non-US LLM endpoints. Self-hosted Llama 3 on vLLM inside your VPC is supported when third-party API egress is not permitted. CCPA, NY SHIELD, and HIPAA data-handling defaults apply across all US deployments.

Senior engineering rates at Aiinfox are roughly 30 to 50 percent lower than equivalent Bay Area, NYC, or Boston GenAI consultancies — real, but not the headline. The headline is the delivery model: senior engineers only, fixed-price six-week GenAI scopes, overrun cost on us if we miss for reasons on our side. Most Bay Area shops bill timesheets, run discovery-then-discovery-then-build phases, and either burn a junior pool behind a senior nameplate or churn senior staff onto bigger accounts mid-engagement. We bill shipped systems and keep the same engineers on your build through launch. Most v1 engagements land between $25,000 and $120,000 fixed-price.

Yes — GenAI rescue audits are routine. Step one is reading the prompts, the eval results (if any), the guardrail logic, and the cost and latency telemetry. Step two is shipping the smallest valuable change to prove we understand the system — usually adding the eval harness or the prompt-injection defense that the previous vendor skipped. Step three is the longer-term rebuild plan if one is needed. Most GenAI rescues we see did not need a rewrite — they needed evals, guardrails, and a senior engineer on the build. We will be honest on the first call about which category your project lands in.

Yes. MSA-plus-SOW for ongoing relationships, single-document fixed-price agreements for one-off GenAI pilots. Standard terms cover IP assignment (your prompts, your fine-tunes, your IP), limitation of liability, indemnification, data handling, and a 30-day production warranty. Net-30 invoicing for established engagements; pilots are typically 50 percent upfront, 50 percent on acceptance. We are a registered Indian entity (Aiinfox Pvt. Ltd.) invoicing US clients in USD via wire transfer — no W-9 or 1099 entanglement because we are a foreign corporation.

Healthcare (HIPAA-aligned medical-inquiry RAG with 98.4% citation accuracy in production, plus a healthcare LLM fine-tune case study), telco support (68% L1 deflection sustained over nine months on a 2M-subscriber SMS bot), insurance voice (sub-1-second p95 outbound agent saving 1,400 staff-hours per month), and EdTech (47% completion lift on an adaptive interview agent we ship ourselves under the Mockinto brand). Reference calls available under NDA. 50+ production systems shipped across 12 verticals — see the documented case studies for the engineering and business outcomes we can show publicly.