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Data Analytics & AI Solutions

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Data Analytics & AI Solutions

For Teams That Want Better Decisions Not Dashboards Nobody Trusts

For Teams That Want Better Decisions Not Dashboards Nobody Trusts

We help companies turn messy, scattered data into something leadership can actually use. And we only bring AI into the picture when the foundation can support it.

We help companies turn messy, scattered data into something leadership can actually use. And we only bring AI into the picture when the foundation can support it.

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WHERE WE GET INVOLVED

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WHERE WE GET INVOLVED

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WHERE WE GET INVOLVED

Typical situations we're brought into

Untrusted Reporting

Leadership doesn’t trust existing reports or dashboards to make decisions.

Slow Insights

Data exists, but insights are delayed, inconsistent, or hard to act on.

AI Readiness Gaps

AI is being discussed internally, but readiness and next steps are unclear.

Data Governance Blockers

Compliance, governance, or data quality concerns are slowing progress.

Data Silos

You've got five systems and no single source of truth

If your data foundation isn't solid, AI won't fix it. It'll just make the confusion faster and more expensive.
If your data foundation isn't solid, AI won't fix it. It'll just make the confusion faster and more expensive.
If your data foundation isn't solid, AI won't fix it. It'll just make the confusion faster and more expensive.
If your data foundation isn't solid, AI won't fix it. It'll just make the confusion faster and more expensive.
If your data foundation isn't solid, AI won't fix it. It'll just make the confusion faster and more expensive.
If your data foundation isn't solid, AI won't fix it. It'll just make the confusion faster and more expensive.

The Harder Truth

Here's something we've seen play out more than once: a team builds a sophisticated model, the numbers look great in testing — and then leadership won't act on it. Why? Because they can't explain how it works. If people don't trust the inputs, they won't trust the outputs. Doesn't matter how good the model is.

Here's something we've seen play out more than once: a team builds a sophisticated model, the numbers look great in testing — and then leadership won't act on it. Why? Because they can't explain how it works. If people don't trust the inputs, they won't trust the outputs. Doesn't matter how good the model is.
Here's something we've seen play out more than once: a team builds a sophisticated model, the numbers look great in testing — and then leadership won't act on it. Why? Because they can't explain how it works. If people don't trust the inputs, they won't trust the outputs. Doesn't matter how good the model is.

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A HARD LINE WE DRAW

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A HARD LINE WE DRAW

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A HARD LINE WE DRAW

When we’ll tell you not to do AI

When we’ll tell you not to do AI

If governance isn't clear, if nobody owns the data, or if the incentives aren't aligned — AI is going to create more problems than it solves. We've walked away from projects where the foundation wasn't ready. And we'll tell you directly if that's your situation.

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CAPABILITIES

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CAPABILITIES

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CAPABILITIES

What this work includes

What this work includes

What this work includes

Data Architecture & Pipelines

Data Architecture & Pipelines

Data Architecture & Pipelines

Analytics & Decision Systems

Analytics & Decision Systems

Analytics & Decision Systems

Applied AI & Machine Learning

Applied AI & Machine Learning

Applied AI & Machine Learning

Data Governance

Data Governance

Data Governance

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WHERE WE’RE ESPECIALLY STRONG

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WHERE WE’RE ESPECIALLY STRONG

Data foundations. It's not glamorous, but it's where most AI projects actually fail.

Data foundations. It's not glamorous, but it's where most AI projects actually fail.

Stepping into a stalled project, figuring out what went wrong, and getting it moving again. 

Usually, the issue is one of three things: requirements that were never clear, product ownership that's missing, or architecture that can't support what the business actually needs.

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Weve Done this in Regulated Environments

Weve Done this in Regulated Environments

Weve Done this in Regulated Environments

A lot of our Data & AI work has been in financial services — where auditability, explainability, and failure tolerance aren't nice-to-haves. That discipline shapes how we work, even when the client isn't in a regulated industry.

Work Weve Done

Work Weve Done

LLM-powered skills translation platform

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Faster Job Search

Industry: AI Platform

AI-powered lending with automated risk scoring

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Faster Decision Making

Industry: BFSI

Platform re-architecture with ML optimization

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Uptime

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Daily Merchants

Industry: Logistics

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AI WHERE IT ACTUALLY HELPS

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AI WHERE IT ACTUALLY HELPS

AI That’s Actually Running

We treat AI as an extension of your analytics capability, not a separate initiative with its own budget and governance nightmare. Every system we deploy has clear ownership, proper monitoring, and a rollback plan if something breaks.

15+ AI solutions in production · 100% deployment rate · BFSI, Logistics, Media

A Good Place to Start

Data & AI Readiness Assessment

2–3 Weeks • Fixed Scope

Let's figure out where you actually stand — how mature your data is, where AI could help, and what it would take to get there. You'll get a data maturity snapshot, a view of realistic AI opportunities, and a roadmap you can actually execute

This is about informing your decision, not pushing you toward one.