Services

Three ways we help teams staff, build, and ship — each shaped by AI.

01 — Staffing & Consulting

AI-Augmented IT Staffing & Consulting

Our core business: placing experienced engineers, architects, project managers, and QA specialists with clients across the US and India — from single contractor roles to full delivery teams. Most engagements start with a conversation about the gap you're trying to close, not a resume dump — we'd rather send fewer, better-matched candidates than flood you with options.

What makes delivery faster today is AI woven into the workflow itself: AI-assisted code review and testing, documentation generation, and faster requirements-to-design turnaround for our consulting engagements. Consultants still own every decision — AI shortens the mechanical parts of the work so more time goes to the parts that need real judgment.

Engagements can run as a single embedded contractor, a small augmented team working alongside your own staff, or a fully managed delivery engagement where we own outcomes end to end — whichever fits how your team already operates.

  • Staffing Contract, contract-to-hire, and direct placements across engineering, infrastructure, QA, and PM roles.
  • Consulting Enterprise application management, custom application development, business intelligence, systems/EAI integration, infrastructure management, security, and QA/testing.
  • Delivery AI-assisted development workflows that shorten cycle time without skipping review or QA.
02 — Outsourcing

AI Talent Outsourcing

A dedicated line for AI-specific hiring: machine learning engineers, AI/LLM application developers, MLOps specialists, and full AI implementation teams — sourced, vetted, and placed with the same rigor as our broader IT staffing practice. This isn't our general staffing bench with an "AI" label on it — it's a separate pipeline built specifically to source and screen AI talent.

Whether you need one specialist embedded in an existing team or a fully outsourced AI delivery pod, we scope the engagement to match how you actually want to work. That includes helping you figure out which model — augmentation vs. full outsourcing — actually fits the problem, since the two require very different kinds of oversight from your side.

Typical engagements range from a single ML engineer joining an existing product team to a small outsourced pod that owns an entire AI feature — evaluation, integration, and monitoring included — from kickoff through production.

  • Roles ML/AI engineers, LLM application developers, MLOps, AI QA & evaluation specialists.
  • Models Individual placement, staff-augmentation pods, or fully outsourced delivery teams.
  • Coverage US and India-based talent, flexible across time zones.
03 — Products

AI Products & Agents

Beyond staffing and consulting, we design and build AI agents and automation tooling as products — including our AWC accelerator frameworks for test automation and application delivery. These aren't one-off client deliverables; they're maintained frameworks we keep improving and reuse across engagements, so clients benefit from fixes and features built for other teams too.

We also build custom AI agents for specific client workflows — support triage, document processing, delivery-pipeline automation — where an off-the-shelf tool doesn't fit the way a team actually works.

See what we've built and what we're building next on our AI Solutions page.

Explore AI Solutions & Agents →

Not sure which service line fits?

Tell us what you're trying to solve — staffing, a project, or an AI build — and we'll point you the right way.

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