Important decisions need reliable AI.

When a model enters the world, its answers become someone’s next step.

Ground truth is human. Reliability is built at scale.

Expert judgment, made consistent across millions of examples.

Inertia is the foundry behind the frontier.

Training data. Human feedback. Evaluations. The work beneath the model.

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The world is the benchmark

Real Work

Different fields. Different stakes.
The same need for data that holds up.

Selected scenarios / fictional partners

Finance

Trace a model’s risk assessment back to the source evidence.

Veyra Capital

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Public systems

Make public records searchable without losing their context.

Oriel Civic Office

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Health

Teach clinical models to distinguish missing evidence from a negative finding.

Avenor Clinical

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Robotics

Turn expert demonstrations into decisions a robot can learn from.

Tesselant Robotics

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Language

Preserve local meaning across a multilingual support pipeline.

Velune Networks

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Energy

Test an infrastructure agent against the exceptions operators actually face.

Caldris Grid

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Illustrative engagements, not client claims. Scroll horizontally to explore.

From evidence to operation

One foundation.
Three ways to build.

Start with the data.
Keep the human standard.

Build

Data Engine

Expert annotation and NLP corpora, built around your domain, schema, and standard of evidence.

Build your dataset
Measure

Evals & RLHF

Model grading, preference data, and red-teaming that make failure modes visible before deployment.

Define your standard
Operate

Deploy

Fine-tuning and domain agents that carry expert judgment into the workflows where it is needed.

Move into production

Notes from the field

Research is a
feedback loop.

“A model does not learn the world from a benchmark. It learns from the details we decide are worth preserving.”
Dr. Iona Venn
Serein Applied Systems / Fictional lab partner
  1. Ground truth under domain shift
  2. Disagreement as an evaluation signal
  3. Language coverage beyond translation

Concept research titles. Manuscripts are not published; the quotation and attribution are original fiction.

The human layer, at scale

Illustrative figures / not operating claims

Petabytes labeled
2.6 petabytes
Expert contributors
84 thousand plus
Languages covered
112
Evaluation tasks run
31 million

Build on what is known

Reliable AI starts with ground truth.

Get Started

Concept contact address. No live sales service is connected.