We Build AI-Native Organizations
AI Agents That Actually Do the Work
Two ways in: a Company Second Brain, so what your team knows stops walking out the door when people quit, and an Agentic OS that takes agents from pilot to production. Start with the $1,500 Agent Readiness Audit — one week, credited in full to any build.
Free 30-minute discovery call. No pitch—you leave with an agent roadmap either way.
Came here for the OpenClaw guides? They live in the OpenClaw hub →
Two things worth doing before you talk to any AI agency
Free scoring tool
The Agent-Ready Score
Find the one role an AI agent can actually run — scored duty by duty in 10 minutes. About half fail; knowing which half you're in is the value.
Open it
Free vetting kit
The AI Vendor Interrogation Kit
12 questions that expose a demo-only AI agency — with our own answers to all 12 published, including where we lose points.
Open it
Trusted by Industry Leaders
AI Agent Services That Actually Do the Work
Whether you want an AI team set up for you or a custom agent built into your tools, Cognio Labs picks the right tool for the job—custom code or no-code—and gets it live, secured, and doing real work.
The order matters. Most engagements run readiness check → Company Second Brain → Agentic OS, because agents only work on documented processes and not more than 25% of the companies we meet arrive with their knowledge in a usable state.
Build a custom AI agent for your business
Need an agent that lives inside your tools—CRM, support, ops? We design, build, and deploy it in production using whatever gets the job done—custom code or no-code—for the best result at the best price.
Become an AI-native organization
Fewer than 1 in 4 AI pilots ever reach production. We lead the agent transformation: ship your first agent in ~4 weeks, then install the operating model where humans own judgment and agents own execution—so every agent after the first ships faster.
Give your agents one memory to work from
The answers are in Slack threads, two senior people's heads, and three documents that disagree. We build a company second brain your team and your agents both read from, with permissions mirrored from the systems the content came from. Fewer than 1 in 4 companies arrive with their knowledge in a usable state, so the cleanup is part of the job.
Run more than one agent without losing track of them
Two agents is fine. The trouble starts at three: cost fans out, two of them write to the same record, and nobody can answer which one did it. We install the layer underneath — scoped credentials, approval before anything irreversible, logs you can actually read, and one named human per agent.
Case Studies
AI agents delivering measurable impact for businesses across industries.
RiderDome
Real-time fleet management system for 100,000+ riders with AI-powered analytics
"Operational efficiency increased by 70% with real-time insights through dynamic charts and natural language queries."— Operations Director, RiderDome
We Run Four AI Products of Our Own
We're an AI-native organization ourselves. Every agent we ship for clients is built on lessons from running these in production.
DruidX
Our agent-building platform: one unified interface to design, orchestrate, and deploy AI agents across LLMs, image models, and video models. We didn't just adopt agent frameworks—we built one. That depth goes into every client build.
GroupthinQ
Market research without the focus group: GroupthinQ simulates human personalities with AI to test products, content, and messaging before you spend a dollar. Deep simulation engineering—the kind of build most agencies can't attempt.
VidyaLabs
AI-powered education platform with personalized tutoring, grounded in CBSE syllabus. Used by schools across India and Qatar to deliver adaptive learning experiences.
Bellix.dev
Chat-based website generator with one-click deploy to Vercel. Build professional websites through natural conversation, edit in real-time via chat, and deploy instantly. No coding required.
These aren't side projects—they're proof we run AI agents in production every day, with our own money on the line. The same team builds yours.
See how we'd build for your businessWhy teams choose Cognio for AI agents
We build AI agents that take real action, secure them properly, and hand you a working system—using the right tool for the job at the best price.
It actually does the work
Most 'AI agents' end up as expensive chatbots that answer questions but never do the task. We ship agents that take real action—qualifying leads, answering customers, running ops—live and in production, 24/7.
Secured by default
Misconfigured, an AI agent with access to your tools and data is a hacker's dream. Every deployment we ship is sandboxed, firewalled, least-privilege, and protected against prompt injection—from day one. And when an agent is unsure, it escalates to a human: logged, reviewable, with a kill switch.
Operators, not slide-deck consultants
We've personally shipped 100+ agent systems, and we run four AI products of our own. You get a working system handed to you, not a strategy PDF and an invoice. We do it the boring, done-right way that survives contact with the real world.
Right tool, best price
Custom code or no-code (n8n, Make, Zapier)—we pick whatever gets the result for the lowest cost, and we tell you which and why. You never pay for an expensive build you didn't need.
What Our Clients Say About Us
Real testimonials from companies that have transformed their operations with our AI solutions
Yoav Elgrichi
Founder
RiderDome
"Very professional in delivery and always quick to respond. The work quality exceeded our expectations. Thank you for the good work!"
Key Result
Exceeded expectations
Impact
Quick delivery
Services Provided
Professional development and delivery services
Want results like these? Tell us what's eating your team's time.
Questions founders ask us before they book
Straight answers, because that's how the rest of the engagement works too.
What does Cognio Labs actually do?
We design, build, deploy, and secure AI agents that do real work — qualifying leads, answering customers, running ops — and lead agent transformations that take companies from a stalled pilot to agents in production. We use the right mix of custom code and no-code tools (n8n, Make, Zapier) and managed platforms, so you get the best outcome at the best price.
What does an AI agent project cost?
A first production agent typically lands in the $8,000–$25,000 range, with pilots from $8,000. After a 30-minute discovery call you get a fixed-fee proposal within 48 hours — no open-ended billing. If the work is a fixed path that runs the same way every time, we will tell you to build it in n8n and keep your money.
How fast will our first agent be live?
Around 4 weeks for a custom production agent. We ship the first one fast on purpose: an early win builds the trust everything else depends on. The part that stretches a timeline is almost never the build. It is the state of your documentation.
What happens when the agent gets something wrong?
Every agent we ship has guardrails: it runs in shadow mode first (suggesting, not acting), escalates to a human when it's unsure, logs every action for review, and has a kill switch. You see transcripts and resolution metrics, so you know how it performs — compared to how things ran before.
Couldn't we just build this ourselves with n8n or ChatGPT?
For a simple workflow — honestly, yes, and we'll tell you so on the call. The hard part isn't building the demo; it's what breaks at 2am when a provider changes their API, and who fixes it. We build agents that survive production and maintain them, which is where most DIY builds die.
Are we locked in if we work with you?
No. You own the code, the accounts, and the infrastructure. Everything is documented and handed over. If you leave, your agents keep running.
Get an AI agent that actually does the work
Book a free 30-minute discovery call. We'll find the one job an AI agent should do first in your business and map exactly how we'd ship it—secured, in production, fast. No slides, no obligation—you leave with a written agent roadmap either way. Soon you could have agents that:
Not sure a build is the right next step? Say so on the call. If the work is a fixed path that runs the same way every time, we will tell you to wire it in n8n yourself.