// Strategy + Innovation

Reinvent business with AI.

We help enterprises turn ambition into operating advantage — engineering Enterprise AI, Machine Learning, Generative AI, Data Platforms and Intelligent Automation that move from pilot to production.

  • Enterprise AI
  • GenAI
  • MLOps
  • Data Platforms
  • Automation

Trusted by data & engineering leaders across

  • FINANCE
  • HEALTHCARE
  • RETAIL
  • MANUFACTURING
  • LOGISTICS
  • ENERGY

// What we build

Five capabilities, one production-grade path.

Most AI stalls between a promising demo and a system the business can trust. We close that gap — pairing strategy with the engineering it takes to run AI in production.

01

Enterprise AI

A clear AI strategy, target architecture and operating model — prioritized by value and ready for your risk, security and compliance reality.

  • AI roadmap
  • Governance
  • Value cases
02

Machine Learning

Predictive and decision models built to last — forecasting, recommendation, risk and vision — with MLOps so they retrain, monitor and scale.

  • Modeling
  • MLOps
  • Monitoring
03

Generative AI

Copilots, assistants and retrieval-augmented apps grounded in your data — with guardrails, evaluation and the controls enterprises require.

  • RAG
  • Agents
  • Guardrails
04

Data Platforms

The foundation AI runs on — lakehouse architecture, reliable pipelines, governance and quality that make data trustworthy and ready to use.

  • Lakehouse
  • Pipelines
  • Quality
05

Intelligent Automation

Agentic and process automation that removes manual work end-to-end — combining AI, workflow and integration to compress cycle time.

  • Agents
  • Workflow
  • Integration

Not sure where to start?

Email us to pressure-test your highest-value AI opportunity.

Email us

// The ascent

A disciplined climb from idea to impact.

Our four-stage method keeps momentum without skipping the engineering that makes AI safe to scale.

  1. 1

    Assess

    We map opportunities to value, score feasibility, and choose the few bets worth making first. You leave with a prioritized roadmap, not a wishlist.

  2. 2

    Architect

    Data, model and platform decisions are made deliberately — for security, cost and the way your teams actually work — so what we build holds up later.

  3. 3

    Build

    We ship a working system in weeks, instrumented with evaluation and guardrails, and validate it against real outcomes before it goes wide.

  4. 4

    Scale

    With MLOps, monitoring and enablement in place, the solution moves into production — and your team owns it with confidence.

// Where it pays off

Outcomes, tuned to your industry.

Financial Services

Fraud detection, credit decisioning and document intelligence — built for auditability and regulatory scrutiny.

Healthcare & Life Sciences

Clinical document automation, patient operations and research copilots that respect privacy and compliance.

Retail & Consumer

Demand forecasting, personalization and assistants that lift conversion and protect margin.

Manufacturing

Predictive maintenance, quality vision and supply-chain optimization that cut unplanned downtime.

Logistics & Supply Chain

Routing, ETA prediction and exception handling that compress cost and cycle time.

Energy & Utilities

Forecasting, asset intelligence and field automation for grids under pressure.

// Why Strativa

We are measured by production, not slideware.

Strategy and engineering live under one roof, so the plan we set is the system we ship. No handoffs, no translation loss.

“Strativa took us from three stalled pilots to one platform our whole team relies on. The difference was engineering discipline, not hype.” — VP, Data & Analytics, Fortune 500 retailer
0AI & data engagements delivered
0from kickoff to first production value
0average ROI across AI portfolios
0of clients expand after the first build

// Insights

Thinking from the build floor.

Beyond the demo: what it really takes to put RAG in production

Retrieval is the easy part. We break down evaluation, guardrails and the operational work that separates a prototype from a product.

Read article

The lakehouse decision: when to consolidate your data estate

A practical framework for choosing architecture by workload, cost and governance — without betting the company on a rewrite.

Read article

How to prioritize an AI portfolio you can actually deliver

A scoring model that balances value, feasibility and risk — so your roadmap survives contact with reality.

Read article

// About Strativa

Strategy and innovation, engineered together.

Strativa is a strategy-and-innovation firm built for the AI era. We pair seasoned strategists with hands-on AI, data and platform engineers — one team, accountable from the first whiteboard to production support.

Our name is our promise: Strata — the layered foundations of data and infrastructure — meeting via, the path forward. We help you climb from where you are to where AI gives you durable advantage.

01

Outcomes over output

02

Engineering over hype

03

Ownership we hand back

// Let's begin the climb

Tell us where AI should make a difference.

Send a line about what you're trying to achieve. We'll come back with a candid view of what's possible, what it takes, and where to start.

  • A reply within one business day
  • One high-value opportunity, pressure-tested
  • A clear next step you can act on

Email us directly

admin@strativa.in
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