Try New AI Intelligence that ships

Enterprise AI Implementation

We build secure AI platforms and the workflows around them for regulated enterprises. We take them from pilot to production.

Clients we have delivered for
US County GovernmentGlobal Pharma Networking & InfrastructureUniversity Research Supply Chain & LogisticsPublic Sector Audit ManufacturingFinancial Services
0% Audit backlog removed
0+ Pipelines automated
0+ Years hands-on AI & ML

Core offering

Enterprise AI transformation

01

AI Strategy & Roadmaps

Use cases scored against feasibility and risk, returned as a sequenced roadmap with budgets, architecture and a build-vs-buy call on every line.

02

Sovereign & Private AI

Models, vector stores and gateways running entirely inside your VPC or on-premise estate. No data crosses the boundary.

03

Enterprise Integration

Intelligence wired into SAP, ServiceNow, Control-M, core banking and the twenty-year-old system nobody wants to touch.

04

Agentic Automation

Multi-step agents owning a real business process, with human checkpoints, deterministic fallbacks and a full decision trace.

05

Document Intelligence

Contracts, filings and decades of archive turned into a permission-aware knowledge layer that cites its sources every time.

06

Governance & Observability

Evaluation suites, drift detection, red-teaming and cost telemetry: the control plane that lets a risk committee keep saying yes.

Built for production, today

Five surfaces from systems we have shipped into regulated estates.

Audit queue, agentic triage
Pipelines, run health
Model gateway, private routing
Supply chain, OTIF by lane
Knowledge base, cited answers
03 / 05 Model gateway Private routing

Selected work

Shipped into regulated estates

Agentic document audit console, showing an audit queue, throughput chart and clearance rate

GovTech · Agentic document audit

United States · 2024

  • Agentic AI
  • Python
  • Azure

Backlog of pending documents cut from 1,500 to 500 in months, work that would otherwise have taken years.

Pipeline observability dashboard, showing run health across 104 pipelines

Agentic automation over 100+ pipelines

Networking & infrastructure

  • LangGraph
  • Control-M
  • Python

Weekly manual reporting replaced by an agent wired into Control-M, producing deeper insight than the report it retired.

The team

Operators who have built and shipped

Mani Shanker

Founder

A decade hands-on in AI. He was teaching machine learning and deep learning years before the current wave.

  • Machine Learning
  • Deep Learning
  • Blockchain
  • Data Analytics
Focus
AI strategy, solution architecture, delivery ownership
Sectors
Government, Pharma, Networking, Manufacturing

Mohammed Shoaib

Co-founder

Works alongside Mani on delivery and client engagement across the firm's enterprise work.

  • Delivery
  • Client Engagement
Focus
Delivery management, client engagement
Sectors
Enterprise, Public sector

Technology we build on

  • Azure
  • Databricks
  • Anthropic
  • OpenAI
  • NVIDIA
  • LangGraph
  • SAP
  • Oracle Cloud
  • PySpark
  • BMC Control-M
  • Kubernetes
  • Python

Available for new engagements

Take your AI from pilot to production.

Book a consult