Enabling Smarter Machines
A specialist practice for human knowledge, rich context, and transparent AI.
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.
- 01
Spreadsheets & inboxes
Knowledge lives in scattered files and people's heads.
- 02
Tools & silos
Data is everywhere, connected to nothing.
- 03
Systems that fit
Structured, governed, and searchable.
- 04
Context-aware AI
Contextualized data your machines can reason over.
Sound familiar?
You don't need the answers yet. That's our job.
“Do my scattered documents even count as a database?”
“How do I actually connect AI to the data I already have?”
“I'm not confident setting up or managing databases myself.”
“My data is spread across vendor tools that don't talk to each other.”
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
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
of company data is “dark” — stored but never used when it’s time to decide.
Industry estimates, 2025
of companies are actually ready to put their data to work for AI.
AI readiness research, 2025
average cost of a U.S. healthcare data breach — the costliest sector 14 years running.
IBM Cost of a Data Breach, 2025
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.
We are a small team of senior practitioners, not a staffing shop. What sets the work apart is the depth behind it.
Award-winning technologists
Practitioners behind Siri and the first production knowledge graph on Wall Street.
Human-Powered AI
Expert judgment extracts truth from your data and enforces it in your AI.
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
Financial Services
Surface signals across filings, trading, and risk data — connecting sources that never spoke before.
Healthcare
Integrate patient data with clinical models so providers can ask better questions of the evidence.
Government
Structure sensitive records and contracts into governed, auditable, context-rich systems.
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.
- 01
Assess
We map your data, systems, and the pain points blocking your AI goals.
- 02
Design
We architect the ontology, knowledge graph, and governance your use case needs.
- 03
Build & Integrate
We deploy a pod of experts to build and connect it to your existing systems.
- 04
Sustain & Enable
We monitor, refine, and train your teams so the capability sticks.
Have a data problem you can't quite name yet?
Book a conversation. We'll help you figure out what you actually need.