04Build / AI Research & Engineering

Multimodal AI & Computer Vision

Make perception useful under the conditions where the system will operate.

Who commissions this

A defined technical problem.

Product and engineering teams working with image, video, text, audio, or structured sensor information.

Engineering scope

What the work covers.

  • Define representative tasks such as inspection, document understanding, visual search, or media analysis.
  • Design labeling protocols and splits by source, subject, site, or time to reduce leakage.
  • Compare modality-specific and fused systems under missing, noisy, or shifted inputs.
  • Measure task quality, calibration, latency, operator corrections, and deployment constraints.

Representative deliverables

Work your team can inspect and use.

  • Data and labeling specification with coverage gaps
  • Reproducible perception baseline and error taxonomy
  • Multimodal pipeline prototype and integration plan
  • Evaluation report across representative conditions

A measurable outcome, scoped together.

A perception system assessed against the actual environment. Examples describe possible workstreams, not claims of completed client projects.

Typical engagements begin at $50,000. Before a proposal, we agree the business objective, data access, system boundaries, deliverables, acceptance criteria, and operating owner. Timelines depend on scope and access.

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