Alpine valley with a mountain lake and a wildflower meadow

Enabling Smarter Machines

A specialist practice for human knowledge, rich context, and transparent AI.

See how we work

Where do you even start?

Most teams know they have a data problem. Few know what it actually is.

That's the first thing we solve. We meet you wherever you are — and take you only as far as you need.

  1. 01

    Spreadsheets & inboxes

    Knowledge lives in scattered files and people's heads.

  2. 02

    Tools & silos

    Data is everywhere, connected to nothing.

  3. 03

    Systems that fit

    Structured, governed, and searchable.

  4. 04

    Context-aware AI

    Contextualized data your machines can reason over.

Sound familiar?

You don't need the answers yet. That's our job.

  • “Will AI change the jobs we rely on—or help people do better work?”

  • “Should we hire for AI capability, or upskill the people we already trust?”

  • “How do we build useful AI without asking our teams to trust a black box?”

  • “We want the leverage of AI without handing our work to another big-tech platform.”

We help you figure out what you have, what you actually need, and the simplest path from one to the other — whether that's tidying up spreadsheets or standing up a system that connects everything.

Past Performance

Trusted by teams in the most demanding fields

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Why generic AI falls short

AI is only as good as the data underneath it.

  • Most of your data is trapped in disconnected systems — invisible when it's time to decide.

  • Generative models can't show their work, so you can't trust or defend the answer.

  • Ungrounded AI invents facts — a non-starter in regulated, high-stakes work.

  • Every team names things differently, so systems can't interoperate.

The stakes

The gap between your data and what it's worth

0%

of company data is “dark” — stored but never used when it’s time to decide.

Industry estimates, 2025

0.0%

of companies are actually ready to put their data to work for AI.

AI readiness research, 2025

$0.00M

average cost of a U.S. healthcare data breach — the costliest sector 14 years running.

IBM Cost of a Data Breach, 2025

0

new U.S. state AI laws passed in 2025, up from 99 the year before.

State legislation tracking, 2025

Why Reclassify

Not another AI vendor. A practice that makes your data trustworthy.

Reclassify AI combines technical depth with a perspective grounded in organizational psychology—because useful AI has to fit the way people and teams actually work.

  • Award-winning technologists

    Practitioners behind Siri and the first production knowledge graph on Wall Street.

  • Human-Powered AI

    Expert judgment makes the system fit how people make decisions, collaborate, and get work done.

  • A semantic foundation

    Ontologies and knowledge graphs give your data shared, machine-readable meaning.

  • Months, not years

    Proven frameworks stand up trustworthy, AI-ready capabilities fast.

Who we work with

Built for the most regulated fields

01

Financial Services

Surface signals across filings, trading, and risk data — connecting sources that never spoke before.

02

Healthcare

Integrate patient data with clinical models so providers can ask better questions of the evidence.

03

Government

Structure sensitive records and contracts into governed, auditable, context-rich systems.

04

Law

Reason across matters, clauses, and precedent with lineage you can defend — on systems built for a world where courts now treat consumer AI use as discoverable.

And the smaller practices within them — independent firms and specialized teams — who need senior data expertise without standing up a team of their own.

How we work

A clear path from data problem to working system.

  1. 01

    Path

    We map where knowledge lives, who holds it, and the workflows that matter before choosing what to build.

  2. 02

    Rules

    We make the rules explicit—starting with how people actually work, then translating that shared understanding into technical systems.

  3. 03

    Build & Integrate

    We build and connect the system to the tools your teams already use, with the people closest to the work in the loop.

  4. 04

    Maintain

    We monitor technical drift and people drift, refine the system, and help the capability stick as work changes.

Have a data problem you can't quite name yet?

Book a conversation. We'll help you figure out what you actually need.