Your AI needs a control center.
Garbage in, garbage out doesn't just happen with data. It happens when instructions are vague, when context gets lost between sessions, when agents guess without good information, and when no rules catch it. Canopy — our flagship product under the Algorilla product studio — is the harness that stops it. A control center and governed engine that connects your tools, enforces your rules while they run, and gets smarter the longer you use it. We stay on top of AI so you don't have to.
We run our own operation on Canopy. Every day.
Canopy
Most platforms are built for humans to chat with AI. Canopy — Algorilla's flagship product — is built for AI to work inside, with guardrails. Think of it like air traffic control for your operation: your tools, your data, and your workflows all route through one governed engine. Every action is checked against your rules before it runs. Every result is remembered and compared to what came before. That's the harness. Without it, even the best AI makes mistakes no human catches — even when it costs real money. With it, your system gets more precise the longer it runs.
Read our research on CanopyBuilt on Canopy
Valet OS
One board that holds the picture no single person can keep in their head. Dispatch coordination, SLA enforcement, queue management — all in one view. Built on the same harness that catches bad inputs before they cascade.
MGMT
When one date moves, everything that depends on it moves with it. Tour logistics, production scheduling, crew coordination — one view of every moving part. Same engine, trained on real logistics where one bad input should never cascade.
Canopy grows with you. Surfacing only what needs you. The rest isn't hidden — it's held, waiting, present without pressure. Quiet by default. Full view when you want it. A presence, not a control room.
How we work with you
Pick where to start. Every step runs inside the same control center.
Find the leaks
We sit with your team and map how work actually gets done — which tools you use, who hands work to who, where things get dropped or typed twice. You get a short, clear list: what's costing you time, what to fix first, and what it's worth to fix. No theory. Just what we saw and what to do next.
Start with an auditFix one workflow that hurts
We take the one workflow that eats hours or needs babysitting and make it run on its own — inside your control center. Your rules are checked live, every step is remembered, and it works with the tools you already use. It lives on your systems, not ours. The harness is on from day one so it doesn't turn a small bad input into a big bad outcome. One win. Then the next is easy.
Fix one workflowLet it run your operation
We put the full system on — it watches for breaks, enforces your rules, and gets better in the background. You choose how much it does on its own: step-by-step, side-by-side, or on its own. We stay on top of the AI part so you don't have to. It surfaces only what needs you and gets more precise every week.
Run it for meCommon Questions
What is Canopy?
Canopy is your control center and governed engine. It connects your tools, runs your workflows, and enforces your rules live. Every action is checked before it runs. Every result is remembered. The engine gets more precise the longer you use it. We use it every day to run our own operation — same harness we build for you.
How is this different from using ChatGPT or Claude for my business?
ChatGPT and Claude are general chat tools. Canopy is infrastructure with a harness. It connects your specific tools, runs your specific workflows, and enforces your specific rules — so bad inputs don't cascade through your operation. It doesn't guess. It carries out what you defined, inside guardrails.
Which industries and companies use Canopy?
Teams where tools don't talk to each other and handoffs fall through the cracks — software teams, content studios, hospitality operators, entertainment professionals. Valet OS (hospitality dispatch) and MGMT (production logistics) are the proof — same engine, different domain. If your team spends more time moving information between systems than acting on it, Canopy is for you.
What if my team can't afford automation mistakes?
That's exactly why there's a harness. Research shows humans miss capability gaps even when it costs them money — and an AI watching another AI misses them the same way. Canopy doesn't rely on humans or another AI to catch it. Your rules are checked in code before anything runs, so most issues are blocked before they spread. The few that slip through are studied, compared to everything the system knows, and when that pattern appears again, it becomes a permanent rule. Errors don't mean it's broken. They're how the harness learns what your operation actually needs — at every layer.
Do you offer on-prem deployment?
Yes. On-prem, hybrid, or cloud — your choice. Your data stays where you put it. The harness and the improvement cycles run where your data lives.
What does working with Algorilla look like?
We start with a conversation. We learn how your operation runs — your tools, your workflows, where bad inputs and missed handoffs already happen. Then we map what's possible and scope a build on Canopy. No long-term commitment. Just a clear path forward. We handle the AI upkeep so you can focus on the operation.
Can Canopy work with my existing tools?
Yes — Google Workspace, Microsoft, Slack, GitHub, Notion, HubSpot, Salesforce, and more. If it has an API, Canopy connects to it. No migration. Your stack routes through the control center instead of being replaced.
How does Canopy get better over time?
Through dedicated improvement cycles you don't have to manage. The engine studies every API call, workflow run, and session — checks it for meaning, compares it to your history, and measures it against what normal looks like for you. It detects when patterns shift, hardens repeating patterns into rules, and when it sees room to improve, it runs training that makes the models behind your workflows more precise. This happens in the background, continuously. You get the gains. We stay in the know so you don't have to.
Does Canopy run when I'm not at my computer?
Yes. It doesn't stop when you close your laptop. Every session keeps going in the background — monitoring, remembering, catching bad inputs and missed handoffs before they spread. When you come back, it tells you what changed, what came up, and what needs a decision. You don't manage the system. The system manages itself and keeps you in the loop.
How much control do I have over what Canopy does?
Full control, at every workflow. Choose step-by-step (you drive), side-by-side (it helps, you decide), or autonomous (it runs, you get tapped only when needed). The harness — your rules, checks, and memory — stays on at every level. You just choose how tight. Change it anytime.
What can Canopy actually do out of the box?
Out of the box, Canopy watches how your operation works, remembers everything that happens, checks new work against what it already knows, catches breaks at every layer — human, context, agent, rules — and gets better on its own. It doesn't need to be pre-programmed for every case because it studies what worked, what didn't, and what changed. It corrects itself. It gets more precise over time. That's the engine, not a feature list.
Is this just for developers?
No. It starts with building but doesn't end there. The same control center that builds also maintains, improves, and helps you run what's built. Coding agents stop at the editor. Canopy runs your operation — with a harness that catches mistakes where code alone can't.
What industries do you work with?
Hospitality operations, property management, entertainment, creative studios, software teams — any operation where tools don't talk and important work slips through. Valet OS and MGMT are built on Canopy and run in production. Same governed engine, proven across domains because the harness — not the workflow — is what makes specialization reliable.