Custom AI-native software
We build the AI-native software your business actually runs on.
Designed around how your business works, with agents that handle the routine work. The team that builds it keeps it running after launch.
- RoutedAnomaly · /pricing traffic·Down 23% vs. 7-day baseline
Alert sent to growth channel
- Auto-handledPickup window · Job 4435·Missed by 12 min · cause: prior stop
Customer notified · ETA updated
- RoutedLead · enterprise tier·Routed by ICP score · 87/100
Assigned to AE Marcus
- Needs reviewInvoice #4827·Vendor mismatch · price off 8%
Held for AP review
- Auto-handledShipment SH-9912·Delayed at customs · day 3
Buyer notified · alt shipper queried
Illustrative · agents handle the routine, escalate the rest.
What that software usually looks like.
Six kinds of system we build often. Yours will be designed around how your business runs.
Dispatch and operations platforms
Routing, scheduling, exceptions, and a live view of every job. Agents make the routine calls a dispatcher would.
Client portals with AI intake and routing
Clients upload documents and your team gets a summary. Each document is classified on arrival and the next step is suggested, so nothing sits in an inbox.
Internal ops dashboards with predictive signals
Live business metrics that flag unusual numbers as they happen. Reports are drafted automatically.
Custom CRMs and pipelines
Built around how your team sells. AI summarizes calls, classifies leads, drafts follow-ups, and updates records, so nobody re-types notes.
Inventory, supply chain, and fulfillment tools
Demand forecasting, reorder points, and exception routing. Agents handle routine reorders and pass the exceptions to your team.
Recommendation and merchandising engines
Models trained on your catalog and customer behavior, data no competitor has. They improve as the data grows.
Don't see your business here? Tell us what you're running and we'll tell you whether we can help.
Four patterns we build to.
Every system we build uses at least one, and we can show each of them working on real data.
Agents do the routine work.
The software does the jobs itself. A dispatch agent reroutes drivers when traffic shifts. An intake agent processes new client paperwork from start to finish. A reconciliation agent matches invoices and escalates the ones that don't match. You set the rules, and the agents ask for help when they're unsure.
You can ask the system in plain language.
Requests go straight to your data and your agents. Ask "show me which clients haven't paid this month and have the follow-up agent draft replies in my voice" and the drafts come back ready to send.
Decisions are baked into the workflow.
Classification, routing, prediction, and anomaly detection run as steps in the workflow. When an invoice arrives, it's classified, sent to the right approver, and flagged if it doesn't match the usual pattern.
The agents stay current and learn your business.
Models get deprecated, APIs change, and the tools your agents depend on get updated. We run evals, upgrade models, and migrate agents so they keep working. We also feed your team's decisions and corrections back in, so the agents handle more of your edge cases each month.
Every engagement follows the same four stages.
The intro call is free. Each paid stage ends with working software you can use.
Intro call
A free 30-minute conversation about how your business runs and where its current software gets in the way.
Scope
A paid engagement. We review your current systems, design the architecture, and ship a first working module that runs on your real data.
Get started in as little as 2 weeks.
Build
We build in stages, and each stage ends with working software. If you stop after any stage, you keep what’s been built.
Operate
A monthly partnership. We run the system in production: we update the agents as models and APIs change, watch for quality slipping, retrain on your edge cases, and add modules as the business grows.
Fourteen years of shipped software.
A few numbers, and two clients in their own words.
Building custom software since
From kickoff to first working module in production
From architecture to operations
Per engagement, never hourly
“Cloudfinch delivered our logistics platform’s MVP in just four weeks. We went from manual Excel tracking to automated route optimization — saving 15 hours a week.”
“The custom scheduling system Cloudfinch built replaced three separate tools and cut our operational workload by 40%.”
With a 30-minute call about your business, the software it runs on today, and where AI-native software would pay for itself. If we’re a fit, we send a fixed-fee proposal within a week.
No. We use the call to work out whether there’s a system worth building and whether we’re the right team to build it. If the timing is wrong, or the work is outside what we do well, we’ll tell you.
Sometimes, and often in part. Where a SaaS tool fits, we integrate with it; where it doesn’t, we replace it. Most engagements do some of each, and the intro call is where we work out which.
You don’t need to be. Most engagements start with the one workflow causing the most trouble. You run that on software built for you, see how it goes, and decide what comes next.
You own the code, and we document the system as we build it. Most clients stay on Operate because the agents need ongoing care, but you’re free to take the system elsewhere.
Your business data stays in systems you control. We use API-tier models from OpenAI, Anthropic, and Azure OpenAI that don’t train on customer inputs. For sensitive workloads we run smaller open models inside your own cloud tenant (AWS, GCP, or Azure). The data-handling boundary is agreed in writing before any data leaves your environment, and we sign NDAs and DPAs as standard.
We design for a predictable monthly run cost: we cache repeated calls, keep prompts lean, and route the easy 80% of traffic to cheaper models. The proposal includes a projected monthly bill. If a provider deprecates a model or changes its pricing, switching models is part of Operate, so you aren’t tied to one vendor.
Latest from the blog
What we've learned building AI-native software for operating businesses.
Tell us what your business runs on.
In 30 minutes we'll work out together whether custom AI-native software makes sense for your business, and where it would pay off first.