Aiinfox is a top AI development company in India and the USA, building production-grade systems — chatbots, voice agents, document intelligence, and bespoke ML pipelines — for healthcare, finance, SaaS, and retail. Senior engineers only. Six-week target from kickoff to working v1.
AI systems shipped to production
industries served end-to-end
average voice-agent p95 latency
production uptime across deployments
Six focused AI development services. Senior engineers. Real production systems — measured, instrumented, iterated.
RAG-grounded conversational agents that hold context across turns, call tools, escalate to humans, and survive real production traffic. Built on Claude, GPT-4o, or Llama — picked per use-case, not per-vendor loyalty.
End-to-end STT → LLM → TTS pipelines that hold a real conversation under sub-second latency. Inbound, outbound, multilingual. We've shipped voice agents handling 4,000+ calls/day with audit logs on every turn.
Extract structured data from invoices, contracts, claims, and PDFs at human-or-better accuracy. Layout-aware models + vision + JSON-schema validation, with an evaluator that flags low-confidence fields for review.
Fine-tunes, evals, guardrails, and prompt-caching wired together as one observable system. We instrument latency, cost, and quality from day one — and tune against your data, not a public benchmark.
Next.js, Flutter, and React Native apps with AI baked into the product — not bolted on. Streaming responses, multimodal inputs, offline-first when needed, and clean fallbacks when the model is wrong.
Senior AI engineers, ML-ops, and full-stack devs embedded into your team and time zone. Average 8+ years of experience, ramped in a week, and accountable to your PRs and standups — not ours.
We're a small senior team building AI that holds up under production load — for teams that want engineering discipline, not consulting theater.
Talk to a senior engineerWe bill for shipped systems, not timesheet padding. Misses are on us.
Twice-weekly demos. Source access. Telemetry dashboards you can read yourself.
The engineers in your standup are the engineers building. No bait-and-switch.
No demo-ware. Eval harness, guardrails, monitoring before we ship to a real user.
Domain context matters. We've debugged production AI in regulated and high-volume environments.
HIPAA-aware clinical chatbots, triage, and ambient scribing. BAA-ready, on-prem or VPC, audit logs on every model call.
KYC automation, fraud signal extraction, and compliance copilots. Deterministic outputs where regulators demand them, SOC 2-aligned deployments.
In-product AI assistants, semantic search, and summarization that doesn't hallucinate over your customer data. Streaming UIs, eval-gated releases.
Shopify-native shopping agents, catalog enrichment, and voice ordering. Hooked into your inventory, pricing rules, and CRM — not a generic chatbot.
Adaptive tutors, automated grading, and interview practice. We ship our own (Mockinto) — so we've debugged the failure modes already.
Multilingual TTS, content moderation, and editorial copilots. Pipelines that scale to thousands of articles a day without losing the brand voice.
Catalog AI for product descriptions, SEO, and merchandising. Personalized recommendations grounded in behaviour — not vibes.
Pure ML R&D — fine-tunes, custom architectures, evaluation suites. For teams that need a senior partner, not a vendor.
Four steps. Six weeks to a working v1. Transparency throughout.
30-minute call. We learn the problem, the constraints, and the success metric — no NDA gatekeeping.
Written one-pager covering scope, acceptance criteria, timeline, and fixed price. If it can't ship in six weeks, we re-shape it.
Senior team, twice-weekly demos, real production code from day one — no throwaway prototypes or sandbox theatre.
Evals, observability, and guardrails wired up. Hand-off doc, runbooks, and a 30-day warranty. Then we measure and tune.
A few representative engagements. Numbers are real — names anonymised where required.
EdTech · Series A
Mockinto
47%
lift in user completion
Deliverables
Stack
Telco · 2M subscribers
Twilio SMS Bot
68%
deflection on L1 tickets
Deliverables
Stack
Insurance · EU
Voice Agent — Insurance
1,400
hrs/month saved
Deliverables
Stack
Production AI is a trust contract. We design with the assumption that your data is regulated, sensitive, and never leaves the bounds you set.
Models, infra, glue. We pick what fits — and own it end-to-end.
Models
Voice & Realtime
Backend & Data
Frontend & Apps
Infra & Cloud
Eval & Observability
They didn't just ship a prompt. They built evals, instrumented latency, and caught two prod regressions before our customers did.
VP Engineering
Series-B SaaS, US
Our voice agent went from prototype to handling 4,000 calls/day in six weeks. Aiinfox owned the whole stack.
Head of Operations
Insurance, EU
Senior team, real engineering discipline. Not the 'AI consultancy' theater you see everywhere else.
CTO
Healthtech, India
Short, honest answers about pricing, timelines, compliance, and how we ship. Yours not here? Write to us — we reply within a business day.
An AI development company helps you decide what to build, designs the system, ships the production version, and hands it off in a state you can operate. At Aiinfox specifically, that means a six-week target from kickoff to a working v1 — usually a chatbot, voice agent, document-intelligence pipeline, or bespoke ML system — with evals, guardrails, and observability built in from day one rather than retrofitted after launch.
Most v1 engagements land between $25,000 and $120,000 fixed price. The number depends on integration complexity, compliance scope (HIPAA, SOC 2), and whether we're fine-tuning a model or composing existing ones. We give you the fixed-price scope in writing, usually within 72 hours of the discovery call. No timesheets, no scope-creep invoices — if it misses, the fix is on us.
Yes to both. We sign mutual NDAs before any technical detail is shared and BAAs for any engagement that touches PHI. Our standard controls are SOC 2-aligned, and we can run the entire build inside your VPC if your security team requires it.
The senior engineer you meet on the kickoff call. We don't run a junior pool with a senior figurehead. Average experience is 8+ years per engineer, and every engagement is staffed by one or two senior engineers end-to-end. No offshore handoffs, no resource swaps mid-project.
Six weeks from kickoff to a working v1 is our target. Week 1 is scope and eval definition. Weeks 2–4 are build with weekly demos. Week 5 is hardening, security review, and deployment. Week 6 is launch with real users or real workload. If we miss the six-week mark for reasons on our side, the overrun cost is on us.
All the major ones — Anthropic (Claude Opus, Sonnet), OpenAI (GPT-4o, o-series), Meta (Llama 3), Google (Gemini), Mistral, Qwen, and self-hosted open-weight models via vLLM. Plus voice stacks on Twilio, LiveKit, Vapi, Deepgram, and ElevenLabs. We're model-agnostic — we pick what hits your eval bar inside your latency and cost budget, not what's trending this week.
No. Every engagement includes a 30-day post-launch window for production fixes and tuning. After that we offer ongoing support retainers covering evals, observability, drift monitoring, prompt updates, and on-call response — but they're optional. Your code, your repo, your infrastructure — we hand over runbooks and on-call docs so your team can operate the system without us.
Three things. First, senior engineers only — the person on your call writes your code. Second, evals and guardrails are not a 'phase 2' bolt-on; they're in week one or we don't start. Third, fixed-price scopes in six weeks, and we eat the overrun if we miss. Most AI consultancies sell you a deck and a discovery phase. We ship the system.
Healthcare, finance, SaaS, retail and e-commerce, legal, staffing and HR, EdTech, and media. 50+ shipped production systems across 12 industries. If your industry isn't on that list, we'll be honest on the first call about whether we're a good fit or whether you're better served by a domain specialist.
Yes. We deploy to your VPC on AWS, Azure, or GCP; to on-prem hardware for regulated workloads; or to our managed cloud for teams that want speed over control. Regional data residency is supported for India, EU, and US deployments — we will not silently route your data across borders.
One 30-minute scoping call. Bring the problem and any constraints (compliance, latency, budget). We come back inside 72 hours with an eval set, a six-week plan, and a fixed-price number. If we're not the right fit, we'll say so on the call and recommend someone who is. Email sales@aiinfox.com or call +91 78885 13249 to book.
Tell us about it. 30-minute call, no pitch deck. We'll tell you straight whether we're a fit — and what we'd do differently.
Replies within 1 business day