TieSet
How We Work With You

Build Representation Infrastructure for your use case.

We work with enterprise teams to scope and develop representation infrastructure — combining STADLE's distributed learning foundation with use-case-specific development.

From first conversation to production

01Architecture Review

We map your existing data sources, entity types, and AI use cases to a STADLE deployment architecture. You leave with a concrete blueprint — not a proposal for more consulting.

Duration

1–2 weeks

Output

Representation architecture blueprint

02Proof of Concept

We deploy STADLE against one entity type using held-out data — validating that the representation approach improves performance before any production commitment.

Duration

4–8 weeks

Output

Performance validation on held-out data

03Initial Production

We deploy on a single production use case, establishing the feedback loop between new signals and the representation layer.

Duration

Scoped per deployment

Output

Single use-case production deployment

04Scale

We extend the representation layer across additional entity types and data sources, generalizing what was learned in production.

Duration

Ongoing

Output

Scaled representation infrastructure

What enterprises achieve with STADLE

Customer Understanding

Replace periodic batch profiles with a continuously updating representation of each customer — ready for AI inference, not just human reporting.

Driver Intelligence

Maintain an adaptive representation of each driver across vehicles, environments, and time — fusing conversation, location, and behavioral signals.

Enterprise Personalization

Enable AI systems to adapt continuously as user behavior changes — without retraining from scratch or waiting for the next data refresh cycle.

Multi-Agent Intelligence

Provide a shared representation layer for AI agents — persistent, private user understanding that accumulates across sessions and systems.

Deployment models

Architecture Review

Complimentary

A focused engagement to map your entity types, data sources, and AI use cases to a representation infrastructure architecture.

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MOST COMMON
Pilot

Scoped per engagement

4–8 week development of representation infrastructure for one entity type in your environment. Full technical support included.

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Enterprise

Contact us

Production representation infrastructure development, custom integration, SLA, and dedicated support.

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Get Started

Start with an Architecture Review

No commitment. We map your use case to a representation infrastructure architecture in one to two weeks.