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Service A

Production AI on your own data, inside your own perimeter.

We deploy custom large language model pipelines, autonomous agent workflows and private retrieval-augmented generation (RAG) architectures built on your internal knowledge bases, with observability and guardrails in place from the first release.

Book a technical audit What we deliver
What we deliver

Three capabilities, engineered together.

01

Private vector DB setup & RAG orchestration

  • Ingestion pipelines for documents, wikis, tickets and databases
  • Vector store deployed inside your own cloud tenancy
  • Permission-aware retrieval, so people only see what they are entitled to
02

Autonomous operational agent frameworks

  • Agent workflows for repeatable operational tasks
  • Tool and API integration with your internal systems
  • Human approval gates for any action with real-world impact
03

Model observability, guardrails & cost fine-tuning

  • Tracing and evaluation of prompts, retrievals and responses
  • Content, data-loss and policy guardrails
  • Latency and spend monitoring with model right-sizing
How it runs

From readiness score to running agents.

01 · Weeks 1–2

Readiness & use cases

AI readiness scoring, data source inventory, security review and a prioritized use-case roadmap.

02 · Weeks 3–5

Working prototype

A proof of concept of the core RAG or agent workflow on a representative slice of your data.

03 · Weeks 6–12+

Production pipelines

Hardened pipelines, ERP and CRM integration, evaluation suites and bi-weekly releases.

04 · Post-launch

Tune & enable

Latency and cost telemetry, guardrail tuning and workshops for your team.

A good fit if

You need AI in production, not another pilot.

  • Leadership has set an AI mandate and expects results this year.
  • Your most valuable knowledge is private and cannot go into public tools.
  • Earlier pilots worked in a demo but never reached real users.
  • Security, legal and compliance teams need to sign off before launch.
What you receive
  • AI readiness score and a sequenced use-case roadmap
  • A working proof of concept by the end of week five
  • Production RAG or agent pipelines with an evaluation suite
  • Dashboards for latency, quality and cost
  • Runbooks and hands-on training for your team
Related services
Service B

Legacy Modernization

Monolith to microservices, cloud migration and compliance.

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Service C

Custom Product Development

Web and mobile platforms built for throughput and longevity.

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Service D

Managed Services & Optimization

Monitoring, SLA support, AI cost tuning and enhancements.

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Start with Phase 01

Begin with a two-week technical audit.

We review your codebase, API throughput, data architecture and AI readiness, then hand you a transformation blueprint and milestone schedule you can act on with or without us.

Book a technical audit See the full approach