Embedded AI engineers, deployable in days, not months.
A vetted bench of senior ML, MLOps, infrastructure, and applied AI engineers — embedded directly into your enterprise teams under your governance model.
Built for enterprise outcomes — not just demos.
Every engagement comes with the governance, observability, and senior delivery muscle that production AI actually requires.
Senior-only bench
No juniors hiding behind a brand. Every engineer has shipped AI to production.
Days, not quarters
Pre-vetted talent matched to your stack and governance in under 72 hours.
Your governance, our talent
Engineers integrate under your NDAs, security policies, and delivery cadence.
Specialized AI engineering, on demand.
ML Engineers
Production model design, training pipelines, evaluation harnesses.
MLOps & Platform
Feature stores, model registries, CI/CD for ML, observability.
AI Infrastructure
Inference scaling, GPU orchestration, multi-region serving.
Applied AI Researchers
Domain LLM fine-tuning, evaluation, retrieval architectures.
Agentic Engineers
Tool-use agents, workflow orchestration, governance design.
AI Security & Governance
Red-teaming, policy enforcement, audit & compliance.
What you walk away with.
Concrete, owned-by-you artifacts — not slideware.
Vetted engineer shortlist
Profiles, references, and technical screen results within 72 hours.
Onboarding plan
Stack ramp-up, access setup, and 30/60/90 success milestones.
Embedded delivery cadence
Standups, demos, and reporting plugged into your existing rituals.
Compliance package
NDAs, background checks, and SOC 2 / ISO-aligned access controls.
Skills uplift for your team
Pairing, code review, and internal enablement as standard practice.
Exit & handover plan
Documentation and knowledge transfer so your team keeps ownership.
Flexible commercial models for every stage.
From early discovery to long-running managed service — pick the model that matches your procurement and risk appetite.
Time & Materials
Senior engineers billed by day or sprint. Maximum flexibility.
Fixed-Scope Delivery
Defined outcome, fixed price, fixed timeline.
Outcome-Based Pod
Dedicated pod tied to measurable business outcomes.
Retainer / Managed
Ongoing capacity for run-the-business AI work.
Need senior AI engineers, fast?
Tell us the stack, the outcome, and the governance model — we'll come back with a shortlist in 72 hours.