Forward-deployed expertise for production-grade ML systems

Probabl deploys data science and machine learning experts directly alongside your teams to design, validate, and industrialize ML systems.

We step in to unblock hard problems, enable and step out once your team is ready to move forward independently.

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When is Forward deployed engineering the right answer?

You are launching a new ML or AI initiative and need an expert sparring partner

You need to leverage multiple AI disciplines in concert together

You have a mix of data that is heterogeneous, siloed, or unstructured

You need to validate feasibility or ROI quickly

You must move from prototype to production

You face scale, reliability, or regulatory constraints

Talk to an expert

Selected forward-deployed engagement

Deep involvement in open standards and open source. Experts trusted by millions of practitioners.

Through Probabl’s expert services, we have participated in masterclasses, conducted a data science and code audit, and followed training sessions on knowledge graphs. Each engagement enabled a highly relevant transfer of technology that directly supports our R&D activities, always delivered with rigor, high standards, and scientific excellence.

Yankel Ducret
Data Science Director at Chanel

Our engagement model

1

Inside your context

Our experts embed themselves seamlessly inside your context
(your data, infrastructure, constraints, and teams)

2

Time-bound and
outcome driven

Engagements are time-bound and outcome-driven with clear deliverables — not staff augmentation, not outsourcing

3

Unblocking

We focus on unblocking hard technical and organizational decisions, not owning delivery forever

4

Autonomy

Every engagement ends with:

  • Working code or production-ready systems
  • Clear architectural decisions
  • Documentation and knowledge transfer
  • A clear handoff to your teams or to Probabl Support

Our service model: modular or end-to-end

Each phase can be engaged independently or sequentially.

Audit

Understand where you are. Identify where value is blocked.
Audit report
Technical recommendations
Roadmap suggestion

Ideate

Align teams and co-design the right solution.
Collaborative design workshops
Functional and technical framing
KPI and ROI definition

Experiment

Validate feasibility with real systems — not slides.
Source code
Hosted demonstrators
Synthesis and recommendations

Scale

From prototype to production-grade systems.
Batch and real-time ingestion
API design (REST, GraphQL, messaging)
CI/CD, testing, deployment automation
Reliability, security, fault tolerance
Maintenance and support handoff

Get in touch today

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