Enterprise AI Development / India

Enterprise AI development, built in India for the systems you run in the US.

We build production AI for enterprises that cannot compromise on security, compliance, or integration. SOC2-aware engineering, zero data retention by default, and deployment inside your own cloud. A senior team in Chennai that works your hours and answers to your controls.

SOC2-aware
Built to your control families
Zero retention
No data kept by default
Your cloud
Deployed in your VPC
Full audit
Every action logged
Why an India partner

A serious build partner, in your timezone.

Enterprise engineering leaders choose us for reasons that have little to do with cost and everything to do with overlap, ownership, and the seniority of the people doing the work.

Timezone

9+ hours of US overlap

Your team is online through your morning and well into your afternoon. Reviews, incident response, and decisions happen in your working day, not on a 24-hour lag.

Ownership

100% IP ownership and NDAs

Every model, prompt, and line of code is assigned to your entity from day one. NDAs and clear IP terms are signed before a single repository is opened.

Team

Senior engineers only

You work with engineers who have shipped AI into regulated, production environments. No staffing pyramids and no juniors learning on your budget.

Engagement

Transparent, fixed-scope pricing

Clear statements of work, defined milestones, and predictable monthly cost. You always know what you are paying for and what ships next.

Security and compliance

The controls your security team will ask about, built in from day one.

We do not bolt security on at the end. These are the defaults we start from, and we adapt them to support your specific compliance requirements.

Compliance

SOC2-aware engineering

We build to the control families your auditors expect: access management, change control, encryption, and logging. We work alongside your compliance team to support your SOC2, HIPAA, or internal program requirements.

Data

Zero data retention

Pipelines default to no retention of your data or your customers' data. Where retention is required, it is explicit, scoped, encrypted, and time-bound to what the use case actually needs.

Residency

Data residency you control

Your data stays in the regions and accounts you designate. We deploy into your US cloud boundary so nothing crosses a border you have not approved.

Access

Role-based access control

Least-privilege access by default, scoped to the project and the environment. Credentials are provisioned through your identity provider and revoked the moment an engagement ends.

Auditability

Full audit logging

Every model call, data access, and administrative action is logged in a form your security team can review. Traceability is built in from the start, not retrofitted before an audit.

Models

Private model deployment

Open-weight models in your VPC, or enterprise endpoints from your chosen provider. Your prompts and outputs are never used to train third-party models.

FoundrySoft supports your compliance program. We align with your controls rather than claiming certifications on your behalf.

Integration

It runs inside your stack, not beside it.

Enterprise AI is only useful when it lives where your systems and data already are. We deploy into your environment and connect to what you already run.

01

Inside your cloud, not ours

We deploy into your AWS, Azure, or GCP environment behind your existing controls. Your VPC, your IAM, your network boundaries. We bring the engineering, not a black box you have to trust.

  • AWS / Azure / GCP
  • Private VPC deployment
  • Your IAM and SSO
02

Connected to your systems of record

AI that reads and writes where your business already lives: your data warehouse, CRM, ticketing, document stores, and internal APIs. Integration is the work, and we treat it as a first-class part of the build.

  • Snowflake / Databricks
  • Salesforce / ServiceNow
  • Internal APIs and queues
03

Built into your delivery pipeline

Code lands in your repositories, ships through your CI/CD, and runs under your observability stack. Evals, monitoring, and alerts are wired into the tools your team already watches.

  • Your repos and CI/CD
  • Datadog / Grafana
  • Evals and alerting
What we build

Enterprise AI, held to one standard for production.

01

Internal copilots and assistants

Domain-grounded assistants for your employees that retrieve from your knowledge, respect your permissions model, and act inside your workflows with the right human checkpoints.

  • RBAC-aware retrieval
  • Workflow actions
  • Human-in-the-loop review
02

Document and data intelligence

Extraction, classification, and search across the documents and records that run your operations, with evaluation and accuracy thresholds you can defend.

  • Document parsing
  • Structured extraction
  • Enterprise search
03

Workflow and process automation

Agents that move work through your systems with guardrails, approvals, and a clean audit trail. Built for reliability under real volume, not a one-time demo.

  • Tool-using agents
  • Approval gates
  • Audit trail
04

AI platform foundations

The shared layer your teams build on: a model gateway, retrieval infrastructure, evaluation harness, and governance so every AI feature inherits the same security and quality bar.

  • Model gateway
  • Retrieval infrastructure
  • Eval harness
  • Governance and policy
Engagement model

Security first. Then we write code.

Enterprise work fails when security is an afterthought and handoff is a black box. We invert that. We start with your controls, deploy into your environment from the first sprint, and hand back a system your team can fully own.

01

Security review

Before any code, we align with your security and compliance teams on data handling, access, and the controls your environment requires. You get a written plan, not promises.

02

Scoped build

A fixed-scope statement of work with defined milestones, deployed into your environment from the first sprint. You see working software in your stack within weeks.

03

Production and handoff

Evals, monitoring, and documentation before launch, then a clean handoff to your team. No lock-in, no undocumented systems, no dependency on us to keep it running.

Evaluating an enterprise AI partner? Start with our security posture.

Tell us about your environment and your constraints. You will leave the first call with a clear read on how we would build it securely, what it would take, and what it would cost.

Chennai, India / Serving US enterprise engineering teams