Production AI for real businesses
The fastest way to move AI from idea to production. Automation, integrations, copilots and secure cloud infrastructure — designed, shipped and operated by a senior team.
Powering ops teams at fast-growing companies in tech
Most AI work stops at “interesting.” We ship the system after — the one that runs inside your business, integrates with your stack, and moves the metric you actually care about.
Built for the pitch. Falls apart the moment a real user, real data or real edge case touches it.
Built to run. In your cloud, on your data, with integrations already wired — and the dashboards to prove it’s working.
Lead capture, CRM updates, inquiry routing, approvals, internal notifications — orchestrated end-to-end inside your existing tools.
From model orchestration to auth, billing, eval and infra — we build the full stack so your AI product can launch and grow without rebuilding it.
From product to platform to deployment — every service plugs into the same operational backbone.
Brightline’s ops team was drowning in inbound. We mapped the full lifecycle, designed an AI router on top of their CRM, and shipped a production system on GCP in six weeks. Today it resolves 4 in 5 tickets without a human touching them.
Read the full case study→“Nexaflow didn’t hand us a prototype — they shipped a system that’s been running our ops for six months without breaking.”
Most agencies hand over a Figma file and a slide deck. We hand over running infrastructure — code in your repos, deployed in your cloud, monitored, documented, and yours to keep.
No hype-driven demos. Every system we ship measurably improves an actual workflow — tickets resolved, leads routed, hours returned.
Secure cloud-native architecture, hardened access controls, audit-grade logging from day one.
Strategy → architecture → engineering → deploy → operate. One team, one accountability line.
Every business operates differently. We design around your workflows — never generic templates.
One discipline: model orchestration, workflow automation and cloud infrastructure — unified.
A typical Build engagement runs 4–8 weeks.
We start tight on Week 1, ship in slices through Week 5, then operate alongside your team for 30 days post-launch.
We map your workflows, bottlenecks and business goals — and identify where AI creates real leverage.
We design automation architecture and AI workflows tailored to your operations and data.
We build the platform, integrate APIs, CRM systems, and automation pipelines.
Your solution is deployed securely on AWS or Google Cloud with hardened access controls.
We continuously improve performance, workflows, and operational efficiency.
A unified pipeline that captures every website inquiry, enriches it, routes it into your CRM and pings the right rep before the user closes the tab.
A site-wide AI assistant connected to your knowledgebase and CRM that resolves tickets, books calls, and escalates only when it matters.
One dashboard for approvals, tasks, workflows, and reporting — replacing five tools and a Slack channel.
Launch your AI product on a secure, scalable foundation — auth, billing, model orchestration and infra, ready to grow with you.
The vocabulary changes — claims, leads, tickets, parcels — but the architecture doesn't.
“We came in with a Notion doc full of half-baked ideas. Six weeks later we had a production AI assistant grounded on our knowledgebase. Genuinely operational, not a demo.”
“They redesigned our entire intake flow. Our SDRs no longer chase enrichment, the AI handles 80% before a human ever sees it. Pipeline velocity is up almost 2×.”
“The thing that sold us was the cloud architecture review. They flagged three things our own team had missed. The platform they shipped has been zero-incident since launch.”
We’ll review your workflows, map an architecture and tell you honestly whether you need us — or just a better Zapier.
Book a 30-min callSprints run two weeks. A full Build engagement is usually 6–8 weeks from kickoff to production, depending on integrations and data. Operate retainers are month-to-month.
We build on top of what you have. Salesforce, HubSpot, Zoho, SAP, Postgres, BigQuery, your internal systems — we integrate, we don't replace. The point is leverage, not lock-in.
Whichever fits the task: Claude, GPT, Gemini, open-source. Most production systems we ship use a router so each workflow uses the most cost-effective model for that decision.
You do. Everything is deployed into your AWS or GCP account, the code lives in your repos, and we hand off documentation. We're a partner, not a hostage situation.
Cloud-native security from day one. Private VPCs, KMS-managed secrets, audit logging, role-based access. SOC 2 / HIPAA aligned where required.
Yes — that's our Operate engagement. SLA-backed on-call, monitoring, continuous optimization, and a quarterly roadmap.
Sprints start at $8k. Build engagements typically start at $35k and scale with scope. Operate retainers begin at $12k / month. Every engagement is scoped before we start.
Let’s build AI systems that reduce manual work, improve efficiency, and help your business operate smarter.