AI Agents, MCP Servers & APIs That Solve Real Business Problems.
Most AI projects stop at the demo. We design, build, and deploy autonomous systems that understand your workflow, connect to your stack, and take real work off your team's plate.
Most AI agents never make it past the pilot.
Teams build impressive demos that fall apart when they need to connect to real data, remember context across sessions, or run reliably under real load.
Built as a demo
The prototype looks great in a slide deck but has no error handling, observability, or path back to human review when the model gets it wrong.
No integration path
The agent cannot call your CRM, query your database, or write back to your tools. It lives in a chat window while the real work happens somewhere else.
No memory or context
Every session starts from zero. Decisions, patterns, and institutional knowledge are lost, so the agent repeats mistakes and re-explores work it has already done.
Find out if you are ready for AI agents before you build.
Most agent projects fail because of the system around the model, not the model. Our fixed-fee Readiness Assessment scores your organization across six dimensions and hands you a risk-tiered roadmap and a draft build plan - so your next investment goes into the right foundations.
From strategy to shipped agent.
We build the systems that let AI agents actually do work inside your business.
AI Agent Development
Autonomous agents that plan, call tools, and complete workflows. Built with observability, error handling, and human review points.
Learn moreMCP Server Development
Expose your data and tools through the Model Context Protocol so Claude, Cursor, and other AI clients can use them safely and consistently.
Learn moreAI Agent Integration
Connect agents to your CRM, ATS, database, phone system, Slack, email, and internal APIs so they operate inside your existing workflow.
Learn moreAI Strategy & Consulting
Architecture reviews, vendor selection, build-vs-buy decisions, and a practical roadmap that gets you to working software instead of another proof of concept.
Learn moreAI Automation Agency
End-to-end automation of repetitive workflows using AI agents. Research, routing, reporting, and data entry done without manual handoffs.
Learn moreEnterprise AI Agents
Secure, scalable agent systems for larger teams. Includes audit trails, access control, private deployment, and compliance-ready observability.
Learn moreA clear path from idea to working software.
Discovery
We map the workflow, define success, and identify the integrations and failure modes before writing code.
Design
Agent architecture, tool interface design, memory model, and human review points.
Build & Integrate
We build the agent, connect it to your systems, and test against real data and edge cases.
Deploy & Iterate
Deployment, monitoring, and continuous improvement based on live usage.
AI systems we have shipped.
Products and platforms built from scratch. Each one ships AI into a real workflow.
SaaSWorkSignal
AI hiring platform. Voice screening replaces phone screens - every candidate gets called and scored automatically. Built and shipped from scratch.
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PlatformNomadSignal
Jurisdiction intelligence for founders, shipped as an MCP server. Scores 25 countries across tax, residency, and business setup so founders can decide where to incorporate in minutes.
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SaaSLearningTo
Scenario-based developer training simulator with AI scoring. Turns real-world situations into practice exercises and grades responses automatically.
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Open SourceSugar
Autonomous task queue for AI coding agents. Reads GitHub issues, writes fixes, runs tests, and opens pull requests automatically.
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Open SourceRemembrallMCP
Whole-codebase knowledge for AI coding agents. A field-aware code graph plus persistent memory. 95% fewer tool calls, 98% token savings. Rust + Postgres + pgvector.
Read more →Install our agent infrastructure.
The memory, tool interfaces, and safety guardrails we build for clients are open source. Run our MCP servers inside Claude Code or Cursor, or use Sugar to drive your own coding agents.
Custom software and AI that fits your business.
Founder-led team with deep experience building software and AI agents for real businesses.
Reliable by design
We design for deployment, observability, and failure handling from day one, so what we build keeps running.
Deep agent and MCP expertise
We built Sugar and RemembrallMCP, so we understand tool interfaces, memory, and autonomous execution from the inside out.
Canada-based sourcing
We are headquartered in Canada and work with clients globally. Clear communication, strong IP protection, and reliable delivery.
Integrated with your stack
We do not drop a chatbot on your homepage and call it done. We connect agents to your real tools, data, and workflows.
Frequently Asked
What is an AI agent in a business context?
An AI agent is a software system that observes its environment, makes decisions, and takes action to complete a goal. In business, agents can answer calls, screen candidates, research jurisdictions, or run background workflows without waiting for a human prompt every step of the way.
How long does it take to build and deploy an AI agent?
A focused MVP usually ships in 4 to 8 weeks. We start with a one-week discovery sprint, then design the architecture, build the agent, integrate it with your systems, and deploy it behind your existing infrastructure.
Do your agents integrate with our existing tools and APIs?
Yes. Most of our work is integration-heavy. We connect agents to your CRM, ATS, database, phone system, Slack, email, or any API so they operate inside your current workflow.
What does a typical engagement cost?
Strategy and architecture engagements typically start at $5K to $15K. AI agent and MCP server MVPs range from $25K to $50K. Enterprise integrations and ongoing retainers start at $50K. We scope every project before we write code.
Do you work with enterprise teams?
Yes. We build secure, observable agent systems for larger organizations, including audit trails, role-based access, private deployment options, and integration with existing compliance workflows.
What is an MCP server and why would we need one?
An MCP server exposes your internal data and tools to AI clients like Claude Code through a standard protocol. Instead of building one-off integrations for every AI tool, you build one MCP server and every compatible agent can use it.
Book a strategy call
Tell us what you are trying to automate or build. We will give you a clear sense of scope, timeline, and cost - no pitch deck required.
