We build the AI platforms, AI agents, AI workflows, internal tools, data systems, document AIAI platforms
your AI-native company runs on
Closed-loop AI systems for growing companies. Custom, queryable, live in weeks.Most companies your size are bolting AI onto a stack of SaaS that doesn't talk to itself. We build the layer underneath. Custom systems, queryable end to end, live in weeks, on infrastructure you own.
Built with
Most companies run open-loop. We close the loop.
Status becomes a guess from someone checking Slack. AI shows up as a chatbot bolted onto Notion. We rebuild the layer underneath, so the system gets better every week.Most companies your stage hit the same wall. Status becomes a guess from someone checking Slack. Context lives in three people's heads. AI shows up as a chatbot bolted onto Notion. We rebuild the layer underneath. Every step produces a real record. Every record feeds back. The system gets better at its job every week instead of slowly drifting.
Every step produces an artifact
Decisions, approvals, and outcomes all leave a record the system can learn from.Decisions, approvals, handoffs, and outcomes all leave a structured trace. Not a Slack thread. Not someone's memory. A record the system can learn from.
Every system is queryable
Ask in plain language. Get a real answer from your own data, with the lineage to back it up.Ask a question in plain language. Get a real answer from your own data, with the lineage to back it up. No middle managers translating between dashboards.
Every workflow is closed-loop
Agents propose. Humans approve. Outcomes feed back. The system improves every week.Agents propose. Humans approve. Outcomes feed back. The system gets better at its job every week, not worse.
Three problems we solve, over and over
Your company's data is fragmented, so AI can't see it
Your AI tools can only help with what they can see. Most companies have data spread across ten systems with no shared layer underneath.
- Normalize, validate, and deduplicate records across your current tools
- For one client, we deduplicated records across 7 input sources with AI-powered detection
- APIs and event streams so downstream agents and reports have real context
- Monitoring, retries, and failure handling for production integrations
Your company's data is fragmented, so AI can't see it
Your AI tools can only help with what they can see. Most companies have data spread across ten systems with no shared layer underneath.
- Normalize, validate, and deduplicate records across your current tools
- For one client, we deduplicated records across 7 input sources with AI-powered detection
- APIs and event streams so downstream agents and reports have real context
- Monitoring, retries, and failure handling for production integrations
Your workflows are open-loop, so they don't improve
If a process produces no record, nothing learns from it. We rebuild workflows so every step feeds back.
- Intake, routing, approvals, SLAs, escalations, and exceptions
- We built a multi-brand agency portal covering proposals to billing that recovers $1-5K/month in scope creep
- Reporting driven by workflow events, not manual status updates
Your knowledge is locked in documents, so it walks out the door
Your team has the manual. They can’t find the right page. When the senior engineer retires, the knowledge leaves with them.
- Search, Q&A, and extraction across PDFs, manuals, spreadsheets, and scanned docs
- One system covers 500+ machine specs with vector search across 300+ source PDFs. Engineers save 10-15 hours per evaluation.
- Permission-aware AI copilots for triage, drafting, and decision support
Common Applications
What you get at design sign-off
Real problems we've solved
A safety equipment company had 60 reps fighting over the same accounts
Territory CRM with maps, lead scoring, route planning. Zero disputes, full visibility.
An agency was losing $3K/month to scope creep they couldn't track
Multi-brand portal with AI proposals, milestone billing. 30% less churn, $1-5K/month recovered.
Service technicians spent hours finding the right page in a 400-page manual
Hybrid search with citations across 300+ PDFs. Instant answers, fewer escalations.
A bookkeeping firm processed 200 receipts a week by hand
AI categorization, confidence scoring, Canadian tax compliance. 15-20 hrs saved/month.
See the full story behind each project
See all case studiesStop paying per seat for tools that don't talk to AI.
From discovery call to fully live in two to four weeks, not two quarters.
You bought SaaS. You customized it as far as it would go. You built the rest in spreadsheets. The spreadsheets became the real system, and nothing in that stack is AI-native. Meanwhile your seat counts keep going up every hire. We replace the layer that should have been yours from the start. Custom to your workflow, live in two to four weeks.
Custom intake + approval portal
Requests route by your org's rules with SLA tracking, not a generic ticketing system
Internal knowledge base + AI search
Ask questions in plain language, get answers from your own docs and SOPs, with citations
Project management + team coordination
Your stages, your roles, your workflows, not adapting your team to someone else's tool
Client portal + status tracking
Clients see their project status, upload docs, and submit requests. Branded, no third-party logins
Validate quickly, then build what holds up
Spec the loop
Outcome, inputs, success signal. Not a feature list.
Prototype with agents
Working software in days, not a slide deck
Lock the blueprint
Data model, permissions, integrations, feedback loops
Build software-factory style
Specs and tests drive agents. A small team ships a lot
Deploy and tune the loop
Launch, watch real usage, the system improves each week
Built like an AI-native team, because we are one
One engineer at the keyboard. AI agents writing most of the code under direction. That is why we ship in weeks.One engineer at the keyboard. AI agents writing most of the code under direction. A small team of operators on review, testing, and deployment. That is how we ship in weeks what other firms quote for quarters.
One engineer plus agents
Most of the code in your project is written by AI agents under direction. The human at the keyboard is the one shipping it.
Specs and tests, not tickets
We write the outcome we want and the tests that prove it. Agents iterate until the tests pass. That is the source of truth.
You pay for the system, not the org chart
Token spend instead of headcount means we can quote $15K to $75K for systems other firms quote $400K for. Same outcome, very different math.
Security and Governance
Built-in security from day one. Self-hosted or our infrastructure.Every system we build passes your security review. Here's what's built in from day one. Self-hosted option available. Deploy on your infrastructure or ours.
Role-based access control
permissions by role, team, region, and partner
Audit logs
trace who changed what, when, and why
Encryption
data encrypted in transit and at rest; secure secret management
SSO
SAML/OIDC when required
Data residency
deploy in your preferred region (Canada, US)
Monitoring
logs, alerts, and operational dashboards
Tell us where execution breaks
Tell us the workflow your team complains about every week. We'll map it, prototype a closed-loop version, and give you a realistic plan including scope, timeline, and cost within two weeks.