Custom AI software, built for the way your industry actually works.
Real estate. Media agencies. E‑commerce. Professional services. Hospitality. Five industries we know cold — with examples of what custom AI looks like in each one.
Generic AI is everywhere. Custom AI software, built for one industry’s actual constraints, is rare — and that’s where the leverage lives.
The same chatbot that’s a hero for an e-commerce returns flow is useless for a law firm’s intake. The same automation that saves a media agency four hours a week breaks the moment you point it at a real-estate brokerage’s lead pipeline. Custom AI works because it’s shaped to the operational reality of one specific kind of business.
Below are the five verticals we ship most often. Each section is the actual conversation we have with new clients in that space — what the problems look like, what we end up building, and what stays consistent across every project.
For brokerages, property teams, and proptech founders.
Real estate runs on response time. The first agent to call back wins, and the agent who follows up on the seventh day still has the deal. Most teams lose both ends — the after-hours leads who go cold by morning, and the slow-burn buyers nobody has bandwidth to chase.
Custom AI for real estate replaces neither the agent nor the CRM. It sits between them: qualifying leads at 11pm, booking viewings on the agent's calendar, generating listing descriptions in the brokerage's voice, drafting follow-ups that actually sound like the agent who would have written them.
We've shipped lead-qualification bots that handle 60-80% of after-hours enquiries without human intervention, listing assistants that turn 12 photos into a property description in 90 seconds, and virtual showing-booking flows that integrate with Calendly and the office's shared inbox.
See the real estate detail page →For agencies of 5-50 people running 10+ active client accounts.
Most agency work is recurring loops disguised as bespoke creative. Weekly client updates. Monthly performance summaries. Quarterly strategy reviews. Each one starts from a blank page even though the shape is identical to last week's.
Custom AI for agencies isn't about replacing strategists or copywriters — it's about removing the prep work that fills senior calendars. The AI assembles the data, surfaces what changed, drafts the narrative in the agency's editorial voice, and lands it in the AM's inbox for editing before they've had coffee.
We just shipped an entire white-label AI ops platform for agencies — agency-os — with two production loops: Client Narrative (weekly client reports) and Raw Materials (per-client knowledge base from sales calls, support tickets, reviews and competitor pages). Agencies deploy it on their own infrastructure, brand it as their own product, and run it for their clients.
Read the agency-os launch notes →For Shopify and D2C brands doing $2M-$50M ARR.
At small scale, Shopify apps are enough. At enterprise scale, you build a platform team. The middle is the gap nobody serves well — you've outgrown the app store but you don't have an in-house ML team and the SaaS tools don't fit your specific weirdness.
Custom AI for D2C lives in the operational backbone. Returns automation that reads the customer's message, checks the order, decides on the policy, and either resolves or escalates with full context. Catalog enrichment that turns 200-character supplier descriptions into brand-voice product copy across 15,000 SKUs. Chargeback dispute drafting from Stripe events plus customer history. Subscription save-flows that actually save subscriptions instead of asking three survey questions.
The pattern across every D2C build: the AI doesn't replace the team, it replaces the spreadsheet of half-finished automation that the team's been promising to fix for two years.
See the e-commerce detail page →For law, accounting, and consulting firms of 20-300 staff.
Professional services firms have the most structured data and the least automation. Every matter, every engagement, every client file is a goldmine of pattern, and most of it sits in PDFs that nobody can search across.
Custom AI for professional services starts with the boring middle. Intake forms that pre-populate matter records from a 30-second conversation. Document review that flags non-standard clauses against the firm's precedent library. Time-entry assistants that read calendar plus matter notes and draft narratives that are billable rather than rejected. Conflict-checks that actually surface conflicts.
The compliance-aware stack matters here — encryption at rest, audit trails on every action, no client data ever leaving the firm's infrastructure. SOC 2, GDPR and (for UK firms) SRA-aware controls available. Most builds run on the firm's own server or a private cloud with the firm's name on the bill.
Talk to us about a professional-services build →For hotels, boutique groups, and vacation rental operators.
Hospitality is operationally relentless. Bookings come in at every hour from every channel. Guests message in three languages on four platforms. Housekeeping schedules change four times a day. Most properties handle this with a senior receptionist and a lot of WhatsApp.
Custom AI for hospitality is a multi-channel operations layer. A 24/7 AI concierge that handles booking enquiries on WhatsApp, Booking.com, Airbnb and Vrbo simultaneously — checking availability, quoting rates, taking deposits, answering 90% of pre-stay questions in the guest's native language. A housekeeping coordinator that reassigns rooms in real time when checkouts shift. An owner-portal that drafts monthly statements from PMS data.
For vacation rental operators specifically, the multiplier is property count. Adding a 50th unit to your roster shouldn't mean adding a 50th human conversation thread. The AI keeps the per-property economics flat as the portfolio grows.
Talk to us about a hospitality build →The verticals are different. The way we build is the same.
Friday demos every week
You watch the build progress in real time. No 12-week silent build, no surprise reveal at the end. If a direction is wrong, we find out in week 2, not week 9.
You own the code, the data, and the IP
The codebase is yours from day one, on a Git repository you control. The data lives on your infrastructure or a managed cloud with your name on the bill. We don’t train models on your data, and there’s no vendor lock-in — if you decide to bring it in-house in year two, you take everything with you.
Built on an open foundation
Every project starts from OpenClaw — the open-source AI agent framework we author and maintain. That’s why a 6-month custom build collapses into a 6-10 week project. You get the speed of a productised foundation with the fit of a custom build.
Direct with the founder
You don’t get an account manager who escalates to a project manager who routes to a developer. You talk to the person writing the code. Two-day decision loops, not two-week ones.
Fixed-price project, not hourly
We scope the project, write a fixed-price quote, ship it on the agreed timeline. No budget creep, no scope-of-work re-negotiations halfway through. Use the cost estimator for a ballpark, then a 30-minute call locks the number.
Don’t see your vertical?
These are five we ship most often. We’ve also built custom AI for finance, healthcare, logistics, hospitality groups, vacation rental operators, oil & gas, manufacturing, and construction — in 14 countries. If you run a 10-500 person business with a problem that’s shaped like custom AI, we can probably help.
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