Three pillars build the thing. Three make it hold up.

AI that does real work — with a leash you control and a record of every move.

The Authority Layer — A written, enforced answer to “what is this agent allowed to touch?”

• Agent Readiness Sprint — two weeks to decide which jobs an agent can safely take
• Agent build on Claude, Gemini, Bedrock or open models
• Guardrails and evals — we break it before your customers do
• AI that watches your systems, with our engineers standing behind it

One trustworthy version of your numbers — good enough for the board and for an AI.

Privacy in the plumbing — Who agreed to what, where each number came from, and what has been erased — tracked in the pipeline itself.

• Pipelines that run themselves — pulled on schedule, duplicates removed, missing days flagged
• One warehouse on BigQuery, Databricks or Snowflake
• The meaning layer — “revenue” means one thing everywhere
• Consent and lineage built into the pipe, not written into a policy

Indian GPUs, Indian data residency — 30–50% below the big global clouds.

Cost per answer — We measure the thing nobody measures — cost per answer, per document, per customer. Most AI projects still have no unit price. Yours will.

• Same NVIDIA H100 and A100 hardware at 50–70% of pay-as-you-go pricing
• Fractional GPUs — rent the slice you use, by the hour, not the whole card
• Your choice of where it runs: global clouds, Indian sovereign cloud, your own racks or fully air-gapped
• Cost per answer measured, then driven down with caching, batching and right-sized models

Security engineered in, not bolted on — provable to an attacker and an auditor.

The AI layer — Tricking the model into breaking its rules, stealing data through it, misusing its tools — the layer most testing programmes have not reached.

• People and access — least access, leavers cut off same day, two-step login
• Cloud and network — nothing public that shouldn’t be, encryption everywhere, keys you control
• Code and supply chain — scanned every commit, no secrets in code, a list of every library you ship
• Data — classified, masked where it should be, deleted when it must be

DPDP, ISO 27001, SOC 2 and HIPAA implemented inside your systems.

One programme, both regimes — Indian firms selling into America carry DPDP by law and SOC 2 or HIPAA by customer demand, with data crossing a border. We run both from a single control set — once, not twice.

• The rule — e.g. DPDP Act §8(7), erase personal data when consent is withdrawn
• The control — a named owner, a deadline and a test; erasure completes everywhere in 72 hours
• The code — on consent.withdrawn, purge warehouse, backups, caches and vector store
• The evidence — a dated, signed record for every request, ready for the auditor

We make the demo work at 3am, under load, with real money on it.

We tell you not to hire us — We audit your existing code first, for a fixed fee, in three to five days. If most of it is sound we keep it. If a rewrite really is cheaper we say so — even though the audit is the smaller invoice.

• It survives real traffic — load testing, caching, database indexes and queues, before launch
• It can’t be broken into — input validation, authentication, rate limits, secrets out of the codebase
• You know when it breaks — error tracking, uptime alerts, dashboards and someone on call
• Anyone can maintain it — readable code, tests, documentation and a recorded handover