AI agent development for US teams that need agents to actually work.
Aiinfox builds production AI agents for US clients from a Frisco, TX office and Mohali HQ — typed tool calls, refusal layers, audit logs. HIPAA, SOC 2, CCPA-aligned. Senior engineers, fixed-price six-week target.
AI systems shipped to production
industries served end-to-end
average voice-agent p95 latency
production uptime across deployments
Production agents for the United States — not autonomy theatre.
Most US teams calling Aiinfox about AI agent development have already shipped one. It hallucinated a tool call, took an action it should not have, and the security team froze the project. The buyers we work with — VPs of Engineering at Series B SaaS in San Francisco, CTOs at regional health systems in Dallas and Atlanta, heads of operations at digital lenders in Charlotte — do not need another demo of an agent that can browse the web. They need an agent that calls the right tool, with the right arguments, against their production CRM or EHR, and refuses to act when it is unsure. That is the engagement. Across 50+ shipped production systems, we have built multi-step agents embedded inside live SaaS products, voice agents that handle inbound and outbound calls at sub-second latency, and document agents that triage claims and invoices under HIPAA and SOC 2 scope.
What makes Aiinfox a useful AI agent development partner for US clients in 2026 is the engineering discipline around the agent, not the LLM behind it. Every tool call is typed against a JSON schema and validated before execution. Every agent ships with a refusal layer that fires when confidence drops or input matches a red-team pattern. Every model call, tool call, and tool result is audit-logged for SOC 2 evidence and HIPAA forensic review. We pin LLM inference to a US region when CCPA, HIPAA, or your security review requires it, and we will run the entire build inside your AWS, Azure, or GCP account when your team prefers to own the runtime. Self-hosted Llama 3 on vLLM is supported for engagements that cannot route to third-party APIs. We default to Claude Sonnet or GPT-4o for tool-calling reliability — chosen against your eval bar on your data, not against a public benchmark.
Time-zone overlap is the question every US buyer asks, and we will not pretend it is solved by a stock answer. Our Mohali team runs on India Standard Time, which gives a native two-to-three-hour window with US Eastern late afternoon and a thinner window with US Pacific. For US clients that need full 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. Twice-weekly demos in your business hours, async-first written updates landing before your standup, and the same senior engineers on the build through launch. Six-week target from kickoff to a working agent v1, fixed-price scope in 72 hours, overrun cost on us if we miss for reasons on our side.
Why teams pick Aiinfox
- Typed tool calls — JSON-schema-validated before execution
- Refusal layers on confidence drop and red-team patterns
- Audit logs on every model, tool, and tool-result event
- HIPAA-aligned with BAAs signed before any PHI is shared
- SOC 2-aligned controls — runs inside your AWS, Azure, or GCP account
- Frisco, TX US-hours pod + India HQ — senior engineers only
Production work, not prototypes.
Multi-step SaaS agents
Agents embedded inside your existing product that plan, call tools against your APIs, and recover from tool failures without breaking the host architecture.
ExploreVoice agents (US English)
Sub-second STT-to-TTS pipelines on Twilio, LiveKit, Vapi, or Deepgram. Outbound and inbound voice with CRM write-back to Salesforce or HubSpot.
ExploreHealthcare agents (HIPAA)
Clinical triage, patient-inquiry, and ambient-scribing agents — BAA-ready, audit-logged, deployable to your US-region VPC or on-prem.
ExploreFintech agents (SOC 2)
KYC automation, fraud-signal extraction, compliance copilots, and deterministic-output agents for digital lenders, neobanks, and insurtechs.
ExploreLegal & document agents
Citation-grounded research agents, contract intelligence, and claim-triage agents — refusal-layered, human-in-the-loop, full audit trail.
ExploreRAG-grounded copilots
Agents grounded in your private corpus with required citations and confidence scoring — hybrid retrieval (BM25 + vectors), eval-gated releases.
ExploreWhere this work has shipped.
Healthcare & medtech
HIPAA-aligned clinical and patient-inquiry agents. BAAs signed; US-region inference or self-hosted Llama 3; audit logs on every PHI touchpoint.
Fintech & lending
KYC automation, fraud-signal agents, and deterministic compliance copilots for digital lenders and neobanks under CFPB, FINRA, and state-level rules.
SaaS & B2B platforms
In-product agents that hold context across turns, call tools against your APIs, and degrade gracefully when the model is wrong — embedded inside your codebase.
Insurance & claims
Outbound voice agents for renewals and missed-claim follow-ups. 1,400 staff-hours saved per month on the EU insurance reference deployment.
Legal & professional services
Citation-grounded legal research agents, contract intelligence, and document automation for US law firms and corporate legal teams.
Retail & e-commerce
Shopify-native shopping agents, catalog enrichment, and voice ordering. Tool calls hit your inventory and pricing rules, not a generic API wrapper.
EdTech & workforce
Adaptive interview and tutoring agents. 47% completion lift on Mockinto, the US-served reference build we ship ourselves.
Telco & support
L1 deflection agents at telco scale. 68% sustained L1 ticket deflection over nine months on a 2M-subscriber SMS bot.
How we ship.
Discover
30-minute scoping call. Problem, tool surface, compliance scope (HIPAA, SOC 2, CCPA), success metric. No NDA gatekeeping.
Scope
Fixed-price one-pager in 72 hours: agent design, tool schemas, eval set, six-week timeline, USD price. NDA and BAA signed where applicable before any data is shared.
Build
Senior engineers, twice-weekly demos in US business hours. Eval harness, refusal layer, audit logs, and observability wired in week one — not retrofitted.
Ship & operate
Launch with real users. Hand over runbooks and red-team suite. 30-day production warranty. Optional retainer for tuning and on-call from the US-hours pod.
Agents that ship. Audit-grade.
98.4% citation accuracy on a regulated medical-inquiry agent with zero policy-violating answers in 90 days of production traffic. 68% L1 ticket deflection sustained over 9 months on a 2M-subscriber telco SMS bot. Sub-1-second p95 on an outbound insurance voice agent saving 1,400 staff-hours per month. Documented engagements, not adjectives.
Questions teams actually ask.
Can an India-based AI agent team really work US business hours?
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 agent. 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.
How do you stop an AI agent from taking an action it should not?
Three layers, none of them optional. First, every tool is typed against a JSON schema and the agent's call is validated before execution — a malformed argument is rejected, not coerced. Second, a refusal layer fires when retrieval confidence drops below threshold, when input matches a red-team injection pattern, or when the tool call falls outside the agent's allowlist for the current user role. Third, destructive actions (write to EHR, charge a card, send a regulated message) require either a human-in-the-loop approval or a second-model verification step. Every model call, tool call, and tool result is audit-logged with timestamps and user context for SOC 2 evidence and HIPAA forensic review.
Is Aiinfox SOC 2 and HIPAA compliant for US healthcare and fintech agents?
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 agent build inside your AWS, Azure, or GCP account if your security team requires customer-managed encryption and a zero-egress data path. Audit logs export to your SIEM. For clients with strict no-third-party-API requirements, self-hosted Llama 3 on vLLM is supported — the agent tool-calls with no inference data leaving your VPC.
Where will my agent's data and inference run physically?
Your call. We default to AWS US-East-1 or US-West-2 for US clients, but we will run inside your AWS, Azure, or GCP account in any US region you specify. For clients with strict data-residency requirements (federal, healthcare, defense-adjacent), we deploy single-region with no cross-region replication and no agent egress to non-US LLM endpoints — Claude and GPT-4o have US-region endpoints we route to explicitly, or we self-host Llama 3 on vLLM inside your VPC for zero third-party inference. Tool calls hit your APIs, not a vendor proxy.
How does Aiinfox compare on cost to a Bay Area AI agent consultancy?
Senior engineering rates at Aiinfox are roughly 30 to 50 percent lower than equivalent Bay Area, NYC, or Boston AI agent consultancies — real, but not the headline. The headline is the delivery model: senior engineers only, fixed-price six-week agent 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 agents and keep the same engineers on your build through launch.
Can you take over a stalled AI agent project from another US vendor?
Yes — agent takeover audits are routine. Step one is reading the agent code, the tool schemas, the prompt stack, the eval results (if any), and the cost telemetry. Step two is shipping the smallest valuable change to prove we understand the system — usually adding the refusal layer or the eval harness that the previous vendor skipped. Step three is the longer-term rebuild plan if one is needed. Most agent takeovers we see did not need a rewrite — they needed typed tool calls, evals, and a senior engineer on the build. We will be honest on the first call about which category your project lands in.
Do you sign MSAs, SOWs, and US-style commercial contracts for agent builds?
Yes. MSA-plus-SOW for ongoing relationships, single-document fixed-price agreements for one-off agent pilots. Standard terms cover IP assignment (your agent, 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.
Which US regional agent examples does Aiinfox have?
Healthcare (HIPAA-aligned medical-inquiry agent with 98.4% citation accuracy in production), 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.
Ready to ship an AI agent that works in production?
30-minute discovery call in your business hours. No pitch deck. Fixed-price six-week scope in 72 hours. HIPAA and SOC 2-aligned. Frisco, TX office for US-hours coverage.
Reply within 1 business day · India & USA
Aiinfox is also referenced as an AI agent development company in the USA, hire AI agent developers United States, US agentic AI consultancy, HIPAA AI agent vendor, and a SOC 2-aligned agent development partner. Explore the parent service AI agent development, the country pillar for AI development in the USA, and the India HQ presence at AI development in India. Related practices: RAG development, generative AI, and LLM development. Documented proof: medical inquiry agent case study and the Twilio SMS agent case study.
