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Service
AI & Machine Learning
We build production AI systems — not demos. Retrieval, agents, evaluation harnesses, and the plumbing that makes LLMs reliable in real workflows.
Outcomes you should expect
- Cut manual document review time by 60–90%
- Deploy internal AI copilots grounded in your data
- Ship AI features with evaluation, safety, and cost controls
What we do
AI product features
In-product summarization, drafting, search, and agents — built into your existing SaaS.
RAG & knowledge systems
Grounded retrieval over your docs, wikis, CRM, and databases with citations.
AI agents & automation
Task-completing agents for support, ops, and revenue workflows.
Custom model fine-tuning
Adapt open-source models to your domain when it moves the needle on cost or quality.
Process
How an engagement typically runs.
Four phases, weekly demos, working software throughout.
01
Use-case sizing
Which workflows benefit and by how much.
02
Prototype
Two-week spike with real data.
03
Eval & harden
Golden sets, guardrails, cost budgets.
04
Deploy & monitor
Rollout with telemetry and drift detection.
Stack
Technologies we use most for this practice.
OpenAIAnthropicGeminiLangChainLlamaIndexpgvectorPinecone
Client stories
What clients say when we're not in the room.
Every logo above is real. So is the work. Here's what the people we build with have to say.
“Nexquorn embedded with our treasury and engineering leadership as one team. Nine months in, we retired systems we had lived with for a decade.”
Priya Anand
SVP, Treasury Operations · Meridian Capital (placeholder) · United States
“This is the first software our clinicians have actively defended in board meetings. That alone is worth the investment.”
Dr. Malik Reyes
Chief Medical Officer · Helm Health (placeholder) · United States
“They understood our business is drivers first, customers second. That framing changed the product and the outcome.”
Hussain Al-Qassim
Chief Operating Officer · Sabr Logistics (placeholder) · United Arab Emirates
Frequently asked
Questions we get about this practice.
Every AI feature ships with an evaluation harness. We measure quality against a versioned golden dataset before any prompt or model change goes live.
Ready when you are
Let's talk about your ai & machine learning project.
Send us the shape of your problem. We'll reply within one business day with next steps.