Skip to content

01 Builds in demand

Systems businesses are racing to automate.

These are the SaaS builds in real demand right now — repetitive, expensive workflows that the right system can run for you. They're illustrative of the work we take on, not a client list. Each one is buildable today, properly, on a real stack.

See one that maps to your business? It usually starts with an AI Opportunity Audit — so you build the version that pays back, not the version that demos well.

01

Contract & document review

Legal & professional services

Who it's for Law firms, in-house legal, and procurement teams reviewing agreements at volume.

The problem

Teams read every contract line by line, yet non-standard clauses still slip through — and reviewing is most of the job, not the exception.

What we'd build

A system that ingests contracts, flags clauses that deviate from your own templates, drafts suggested redlines, and routes anything genuinely risky to a person. The routine review runs in minutes; the judgement calls still reach a human.

Stack TypeScript LLM + retrieval Document parsing Rules engine
02

ESG & compliance reporting

Compliance & regulation

Who it's for Finance and sustainability teams facing ESG, regulatory or framework reporting.

The problem

New disclosure rules demand structured, auditable data that's scattered across spreadsheets, suppliers and systems — and pulled together by hand each period.

What we'd build

A platform that collects the required figures from source systems, validates them against the framework's rules, and produces audit-ready reports and benchmarks on a schedule — turning a frantic manual exercise into a repeatable one.

Stack Full-stack web app Data pipelines Validation rules Scheduled reporting
03

Predictive maintenance

Industrial & operations

Who it's for Manufacturers, facilities teams and anyone running connected physical equipment.

The problem

Equipment fails without warning, and unplanned downtime costs far more than the repair ever would.

What we'd build

A monitoring service that reads sensor data — vibration, temperature, current — learns the signature of a healthy machine, and warns you weeks before a failure so maintenance happens on your terms, not the machine's.

Stack Time-series ingestion ML models Alerting Dashboards
04

Vertical CRM & operations hub

Industry-specific software

Who it's for Operators in a specific vertical (trades, clinics, agencies, lettings) underserved by generic tools.

The problem

Generic CRMs force your team to bend its process to the tool, so half the fields go unused and the rest is worked around in spreadsheets.

What we'd build

A CRM and operations hub built around one industry's actual workflow — the stages, documents and rules your sector really uses — with automation handling the repetitive admin between each step.

Stack Full-stack SaaS Workflow engine Integrations Role-based access
05

Content repurposing engine

Marketing & creator tools

Who it's for Marketing teams, agencies and creators publishing across multiple channels.

The problem

One good piece of content should become ten — but turning a call or article into posts, clips, emails and summaries eats a whole day.

What we'd build

A tool that takes a single source — a recorded call, a long-form article, a webinar — and produces channel-ready drafts for each format, in your voice, ready for a person to approve and ship.

Stack TypeScript LLM orchestration Media processing Editorial review UI
06

Incident management & on-call

IT & DevOps

Who it's for Engineering and operations teams responsible for uptime.

The problem

When something breaks, response is ad hoc: no standard playbook, no clean notification chain, and post-mortem actions are never tracked, so the same incidents recur.

What we'd build

A system that triggers the right playbook on an incident, notifies the right people in order, captures the timeline automatically, and holds post-mortem actions open until they're actually done.

Stack Full-stack web app Event ingestion Notification integrations Audit trail
07

Integration & data-sync hub

Operations & systems

Who it's for Any company whose critical data lives across several disconnected systems.

The problem

A business runs on dozens of tools that don't talk to each other, so people re-key the same data and silos quietly drift out of sync.

What we'd build

A hub that keeps your systems aligned — orders, contacts, inventory, finance — with clear rules for the source of truth, monitoring that surfaces a failed sync immediately, and no more copy-paste between tabs.

Stack TypeScript Queue-based sync API integrations Monitoring
08

Intelligent forms & data entry

Professional services back office

Who it's for Accountancy, insurance, healthcare admin and any forms-heavy back office.

The problem

Skilled people spend their day re-typing data into forms and spreadsheets, and the small keying errors that creep in are expensive to unwind.

What we'd build

A workflow that captures data once — from documents, emails or a clean intake form — validates and calculates it automatically, posts it into the systems of record, and escalates only the genuine exceptions.

Stack Document extraction (OCR + LLM) Validation rules Full-stack app ERP/CRM integration

Start here

One of these is your business. Let's scope it.

Tell us which build maps to the problem you're carrying. We'll be straight about whether it's worth automating — and what it would take to do it properly.