Question 1

What kinds of projects are in your portfolio?

Accepted Answer

Our portfolio spans autonomous AI agents, RAG knowledge engines, full-stack SaaS platforms, AI-driven marketing systems, edge-deployed e-commerce, and logistics copilots. Every project is a live production system, not a concept demo.

Question 2

Can you share results or metrics from past projects?

Accepted Answer

Yes. Our shipped systems support 50M+ users across 38 countries, maintain 99% uptime, and have delivered measurable outcomes like 60% support-ticket deflection, 3x lead qualification speed, and sub-50ms global page loads.

Question 3

Which industries have you built AI systems for?

Accepted Answer

Fintech, e-commerce, SaaS, logistics, marketing agencies, healthcare, education, and B2B services. If the workflow involves language, decisions, or repetitive knowledge work, we have likely built something similar.

Question 4

Do you sign NDAs for confidential client work?

Accepted Answer

Always. A large portion of our work is under NDA and not publicly listed. On request we can walk through anonymized case studies during a discovery call to show the closest match to your use case.

Question 5

Can I see a live demo of one of your AI agents?

Accepted Answer

Yes. During discovery we share sandbox links to relevant agents — support agents, sales qualifiers, or RAG assistants — so you can chat with a real production system before committing.

Question 6

How do you decide which tech stack to use per project?

Accepted Answer

We choose based on scale, latency, budget, and your team's ability to maintain it. Defaults are React + TanStack + Postgres on edge runtimes, with LangGraph or CrewAI for agents and pgvector or Pinecone for retrieval — swapped freely when the project demands it.

Question 7

Do you build one-off projects or long-term partnerships?

Accepted Answer

Both. Many clients start with a focused MVP and continue on a monthly retainer for new features, model upgrades, and scaling. Others hire us for a fixed-scope build and take it in-house from there.

Question 8

Can you rescue or upgrade an AI project that already exists?

Accepted Answer

Yes. We regularly audit and rebuild slow, unreliable, or unsafe AI systems — replacing brittle prompt chains with proper agent architectures, adding evaluations and guardrails, and cutting cost per request by 40 to 80 percent.

Question 9

How do I request a proposal for a similar project?

Accepted Answer

Send a brief through our contact page describing the outcome you want. You will receive a proposal with scope, timeline, and fixed price within one business day.

A decade of
shipped intelligence.

Selected work

Sentinel — Autonomous Support Agent

Helix — RAG Knowledge Engine

Orbit — SaaS Growth Suite

Pulse — Social Automation

Nimbus — Edge Commerce

Atlas — Logistics Copilot

What clients ask about our work

A decade ofshipped intelligence.