# Specialist models, built and tested · Dscvry

> We build our own models, train them for you, and deploy third-party models when they fit. Each is tested on the work it will do, and runs wherever the work is.

Source: https://dscvryai.com/technology/models/

# Specialist models, built and tested.

We build our own models, train them for you, and deploy third-party models when they fit.

The models we build · How we make them ·

Wherever the work is.

Hosted Private cloud On-premise Edge Air-gapped

## The models we build.

Each one is built for one kind of work, and scored on that work before it is trusted with it.

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### Resolve New

Reads business documents and makes the call: pay or hold, on time or late, who signs off.

[View model](https://dscvryai.com/technology/models/resolve/)
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### Match Coming soon

Decides whether two records are the same company, and matches automatically only when the evidence is there.

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### Extract Coming soon

Our own document reading models: complex documents rebuilt as structured data.

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### PII Coming soon

Finds personal and sensitive data in documents, so it can be redacted before it leaves your control.

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### NDA clause model Research

Rules on 17 standard NDA clauses and quotes its evidence: 84.5% on a sealed test set, running on an ordinary CPU.

[Read the research](https://dscvryai.com/insights/nda-clause-model/)

## Models we make for you.

Built from the start, or trained on your material. Third-party models are tested on your work too, before we deploy them.

We have the data. Who builds the model?

### Custom models

From your data to a working model, for teams that don’t have AI specialists of their own.

Talk to us → ·

Can it read our codes and terms?

### Fine-tuning

We teach the model your codes, units and terms, so it reads them the way your engineers, lawyers and analysts do.

Talk to us → ·

Will it judge the way our experts do?

### Domain training

We train it on your industry’s documents, and your experts correct it until it judges the way they do.

Talk to us → ·

Can it run on the hardware we have?

### Smaller models

The quality of a large model in a small one that runs cheaply on ordinary hardware.

Talk to us → ·

Every model is tested field by field on examples it has never seen, and tested again whenever it changes.

## Third-party models.

Open models, chosen and tested on your own cases, then run privately in your environment. Decisions above your threshold are automated, and the rest go to a person.

Scoping 2 to 3 days

Choose one or two decision workflows.

Acceptance criteria agreed in writing before any results are seen.

Evaluation About 2 weeks

Candidate open models run on 200 to 500 of your labelled cases. We report accuracy, accuracy at your automation rate, calibration, speed and errors by class.

Measured on your cases, not a public leaderboard. Every model named with its licence.

Private deployment Agreed per client

The chosen model is served privately, with your threshold, review routing and audit log.

Your cloud or a private endpoint. Your data is not used for training without written consent.

Adaptation Agreed per client

Optional and paid. We train a model adapted to your cases.

Ships only if it beats the chosen model on your held-out cases.

## Where it runs.

The AI goes to where the work is. Ours, yours or third-party: we deploy any model in any of these, from hosted to air-gapped.

### A managed environment.

Start with a hosted service when speed of adoption and managed operations are priorities. Agree data handling, access and service requirements as part of the engagement.

Discuss hosted ·

## You own the weights.

The finished model belongs to you, and it stays yours wherever it runs.

**Yours to keep.** It runs on your servers, in the cloud or fully air-gapped.

**Trained on your data only.** What it learns from your documents is never used for anyone else.

**Runs where you choose.** Hosted, private cloud, on-premise or air-gapped. You decide.

## Put them to work.

Models power the rest of what we build. Each of these is built on the same tested foundations.

### Agents

Agents that run on their own and hand over to a person at the decisions that matter.

Explore Agents →
https://dscvryai.com/technology/agents/

### Products

Ready-made products for recurring jobs, from documents and contracts to sustainability data.

Explore Products →
https://dscvryai.com/technology/products/

### APIs

Model, agent and data APIs that plug into the systems you already run.

Explore APIs →
https://dscvryai.com/technology/apis/

### Data

Data collected, extracted and governed, with every value traced to its source.

Explore Data →
https://dscvryai.com/technology/data/

### Evaluations

Tests built from your own cases, rerun every time a model changes, so you always know how well it does your work.

Explore Evaluations →
https://dscvryai.com/technology/evaluations/

## Bring us the work where wrong is expensive.

Start with the operational problem. We’ll work out the data, models and agents it needs, and where it should run.

[Talk to us →](https://dscvryai.com/contact/)

**London**Discovery AI Limited · United Kingdom

**Hyderabad**ReDscvry Technology Private Limited · India

**Chennai**ReDscvry Technology Private Limited · India
