01Stage
Signal
We map the workflow, the data and the decision that matters. Then we define what 'working' means in numbers before writing code.
› map workflow ✓
› isolate bottleneck ✓
› define success metric ✓
Capabilities
AI that does the work.
We work across the whole stack, from model choice and evaluation to interface, infrastructure and billing, so the tool you get is a finished product rather than a proof of concept.
01
AI Products
From blank page to paying users
We take AI-native software from idea to launch: product strategy, interface, models, billing and infrastructure. One team, one codebase, shipped.
- Product strategyINCLUDED
- UX & interface designINCLUDED
- Full-stack buildINCLUDED
- Launch & growth toolingINCLUDED
02
Agents & Automation
Software that reads, decides and acts
Agentic workflows that work across your inbox, CRM, documents and payments, with human approval exactly where it matters and logs for everything else.
- Agent designINCLUDED
- Tool & API integrationINCLUDED
- Human-in-the-loop reviewINCLUDED
- Monitoring & audit trailsINCLUDED
03
AI Integration
Intelligence inside the software you already run
Extraction, classification, retrieval and copilots built into existing products, with evaluation suites so quality is measured instead of hoped for.
- Retrieval & searchINCLUDED
- Structured extractionINCLUDED
- Eval suitesINCLUDED
- Cost & latency tuningINCLUDED
input ▸ scanned_invoice.pdf · 2 pages
output ▸
schema ✓eval ✓audit log ✓
04
Internal Tools
The back office, rebuilt around AI
Dashboards, ops consoles and review queues designed around how your team actually works, so the tool gets opened every morning.
- Ops dashboardsINCLUDED
- Review & approval queuesINCLUDED
- Data pipelinesINCLUDED
- Role-based accessINCLUDED
Queue
12
Auto-resolved
86%
Needs review
3
How we work
Prompt to production.
Four stages, one team. Short loops, working software at every step, and quality you can measure.
02Stage
Prototype
A working tool on real inputs, fast. Not slides: something you can click, break and react to.
› scaffold app ✓
› wire model + tools ✓
› run on real inputs ✓
03Stage
Harden
Evals, guardrails, fallbacks and observability. The unglamorous work that makes AI trustworthy on its thousandth run.
› eval suite → all passing
› guardrails + fallbacks ✓
› latency budget → met
04Stage
Ship & Operate
We launch, watch it in production and keep improving it, because a model you never measure again is a model that quietly drifts.
› deploy → production ✓
› monitoring live ✓
› weekly eval report ✓
Have a workflow worth automating?