Make the software you own AI-native.
Privately.
Private copilots over your documents, website assistants that can actually take action, and AI wired into your CRM and ERP. All of it runs on a model hosted on our private servers or inside your own cloud.
Why this is still painful in 2026.
Leak risk
61% of financial institutions name sensitive-data leakage as their top AI risk (Cloud Security Alliance, 2026).
Compliance
India's DPDP Rules apply in full from 13 May 2027, and you stay responsible for what your AI vendors do with personal data.
Per-chat bills
Per-resolution AI pricing (around $0.99 each at leading vendors) gets expensive at volume.
Five stages. Every run. Fully logged.
The agent moves fast on the repetitive work. Your team signs off on the decisions that matter. Nothing irreversible happens without a human.
- 01
Discover
Pick the 2–3 workflows where AI pays back fastest, and map their data and permissions.
- 02
Connect
Ingest documents and connect APIs with scoped, revocable credentials.
- 03
Ground
Hybrid search with citations. Permission checks happen in retrieval, not just in the prompt.
- 04
Act
Approved tools only, budgets and step limits, and human confirmation for consequential actions.
- 05
Measure
Accuracy evaluations, deflection and time saved, reported monthly.
Deliverables you keep.
- Private copilot (web, Teams or Slack)
- Website agent: one script tag
- CRM / ERP / API integrations
- Evaluation suite & accuracy report
- Admin & usage dashboard
- DPDP-aligned data map
Machines do the volume. People own the judgement.
● The agent handles
- Document ingestion
- Grounded answers with sources
- Lead qualification
- Ticket & CRM updates
- Report drafting
● Our engineers own
- Use-case selection
- Permission design
- Tool approval rules
- Quality reviews
- Escalations
Prove it on one workflow first.
Free Audit
We map the workflow, estimate the payback and flag privacy risks. You get an honest go / no-go.
- Process & data map
- ROI estimate
Private Copilot Pilot
One copilot over your documents, private model, 2–3 weeks.
- Success criteria agreed up front
- Evidence report at the end
Managed Private AI
Hosting, model updates, monitoring and monthly evaluations.
- Private hosting or your VPC
- Monthly outcome reporting
Good questions.
Which model do you use?
Open-weight models (currently the Qwen 3.5 family) running on our own servers or yours. The architecture is model-agnostic, so we switch when better models ship.
Is our data used for training?
Never. Your documents are retrieved at question time. They are not used to train any model.
Can it run fully offline?
Yes. On-premise deployments need no external API at all.
One platform, four specialists.
Development Agent
→Agent 02 · Data & platform migrationMigration Agent
→Agent 03 · Autonomous QATesting Agent
→Ready when you are.
Tell us about one workflow. You'll get a straight answer within a working day.
Start with a free audit →