Reduce prototype timelines by up to 60%, increase engineering throughput by 50–100%, and extend your team’s capacity without expanding hiring cycles. Senior AI engineers who embed and ship from week one.
The outcomes
34% faster
52% faster
75% higher
26% lower
56% lower
24% lower
Based on AI-first delivery across recent SigmaInfo engagements, including a six-month build by an eight-person team for a small-business ERP platform, plus fintech and ecommerce projects.
How it works
Share the initiatives, technical gaps and delivery objectives your team needs to hit.
Review a shortlist of senior AI engineers aligned to your stack and goals. You choose.
Engineers embed into your workflows, contribute from week one, and scale with your priorities.
What you get
Expand delivery capacity without increasing permanent headcount.
Embed senior specialists directly into existing engineering teams.
Accelerate copilots, assistants, intelligent search and GenAI initiatives.
Reduce bottlenecks and keep roadmaps moving toward production.
Proof
Manual document and income verification slowed approvals. Sigma embedded AI-driven document processing and compliance checks into the origination workflow, kept auditable and human-in-the-loop.
Search was limiting conversion. Sigma deployed AI-powered product discovery and recommendations, validated through a focused pilot before rollout.
Why teams choose Sigma
Engineers who have shipped real AI in real systems. Velocity from day one, not risk.
Modern AI tooling and agentic patterns, so your team levels up alongside them.
A rigorous bar. You meet a shortlist and you choose.
NDA on day one, clear IP ownership, code escrow on larger engagements.
Start with one engineer, scale to a pod, adjust as priorities change.
Get started
Tell us where delivery is slowing down and we will recommend the right AI engineering capacity model. Best for CTOs, heads of engineering and product leaders.
Please fill the form or send us an email at sales@sigmainfo.net