# The Koso Deck | What We Build, Where We're Going > The Koso pitch deck: what Koso is, the vision for company-owned AI, the goal we're working toward, how we're achieving it today and how we get the rest of the way. Koso · a brand of Ideanab Private Ltd · London # We Build The AI Your Company Owns. Eleven slides on what Koso is, where we think this all goes, and what we are doing about it - starting today, not in a funding round. Start the deck Scroll, or use the arrow keys ## A Custom AI Development Agency. We design and ship bespoke AI systems - agents, copilots, retrieval, and whole AI operating systems - for companies that want a moat instead of another subscription. Eighteen senior people across four continents, one team from the first scoping call to production, and every line of code delivered into the client's own repo. ### Not a SaaS you rent Nothing here has a seat price or a renewal date that can take the capability back. ### Not a chatbot wrapper Retrieval, tools, evals, guardrails, cost controls. The parts that decide whether it still works on day 100. ### Not a deck consultancy The strategy work exists to point at a build. The build is the deliverable. ## Everyone Bought AI. Almost Nobody Owns Any. 01 ### Rented intelligence The AI inside most companies belongs to a vendor. Cancel the plan and the capability leaves with it, along with everything it learned about how you work. 02 ### Pilots that never land The demo impresses. Then it dies in the gap nobody budgeted for: evals, access control, observability, cost, and the person who owns it at 3am. 03 ### Generic by construction Software sold to ten thousand companies cannot encode what makes one of them different. The part worth owning is exactly the part it has to leave out. The advantage was never having AI. It is owning the part of it that is yours. ## Every Company Runs On An AI OS It Actually Owns. Not fifteen subscriptions bolted to the side of the business. One owned layer that sits above the tools a company already runs, holds a real model of how that company works, and gets sharper every week it stays in production. ### Owned, not rented The capability survives any vendor, any price change, any renewal. ### Custom, not templated Built around the workflows and data that only one company has. ### Operated, not abandoned Someone is still watching it on day 100\. Usually us, with the client's team. ## Make Owned AI The Default Choice. Right now, building it yourself is the brave option and renting it is the safe one. The goal is to invert that - to make an owned system the obvious, boring, defensible call. Three horizons: ### Now This year Be the team a serious company calls when the AI has to actually reach production. First release live in 4 to 6 weeks, operated after launch, code in their repo from day one. ### Next Two to three years A hardened AI OS core. The modules every build repeats - memory, evals, model routing, integrations - solved once by us, then bent to the shape of each client instead of rebuilt from scratch. ### Horizon The long game An AI-native generation. The operators, students and faculty we train become the people who run owned AI systems, at our clients and at every company that hires them. ## One Engine, Five Moves. Nothing here depends on a marketing budget we don't have. Free agents and visual lessons put working software in front of people, a short paid roadmap turns interest into a scoped build, and the operating phase is where the compounding happens - every system we run teaches the next one. what we learn in production becomes the next agent, module and lessonattractfree agents · lessonsproveroadmap in 14 daysbuildlive in 4-6 weeksoperateevals · cost · driftembedyour team runs it Swipe the diagram sideways to see it all. Five stages, one loop. The free agents and lessons are the front door, a short paid roadmap is the qualifier, the build is the product, and operating it is where the patterns come from that make the next build faster and the next free agent better. ## Not A Plan. A Running Business. 120+ AI products shipped 50,000+ Students trained 18 People, 4 continents 8 Free agents live on koso.ai −97% ### SDR time-to-reply 4 hours to 6 minutes, with a custom inbound agent qualifying and booking inside HubSpot. 3× ### Support volume handled Tier-1 deflected by an agent grounded in the help center, humans kept for the edge cases. 8× ### Client reporting throughput A bespoke copilot reading GA4, Ads and CRM, answering client questions in plain English. Clients in the US, UK and Australia. Ideanab Private Ltd incorporated in London, March 2025, company no. 16344048. ## One Build, Week By Week. The inbound sales agent we built for a US B2B SaaS company, the way it happened. 1. Wk 1 Sat in on their inbound queue for three days. Demo requests landed in a shared inbox and waited about four hours for a reply, mostly because the SDRs were researching every lead by hand before writing back. 2. Wk 2 Cut the scope to inbound demo requests. Partner enquiries and support questions come through the same form, and those stayed with people. 3. Wk 3–4 Nothing shipped. We pulled a few hundred old leads out of HubSpot and had their best SDR mark the ones worth chasing. That became the test the agent had to pass. 4. Wk 5 First version live, with a human in front of it. The agent qualified the lead and drafted the reply, and an SDR approved every email before it went out. 5. Wk 7 Turned on booking, so qualified leads could pick a slot on a rep's HubSpot calendar straight from the first email. 6. Wk 9 Median time to first reply was 6 minutes, down from 4 hours. We still run it with them. ## The Next Four Moves. 01 ### Productise the core Every AI OS we build repeats the same unglamorous 60%. Hardening that into an internal platform means the next client starts at week six instead of week one - same custom outcome, less of it paid for twice. 02 ### Widen the front door More free public agents and visual chapters at koso.ai. Each one is a working demo of the standard we build to, and the cheapest possible proof for a buyer who has been pitched by everyone. 03 ### Compound seniors, not headcount Training and education aren't a side business. They are how a senior-only bench grows: the people who can run owned AI systems mostly don't exist yet, so we teach them. 04 ### Stay model-agnostic on purpose The architecture assumes the frontier moves. Routing, evals and abstractions are built so a client swaps models on a benchmark, not on a rebuild. ## What We Won't Trade Away. ### Senior engineers, always No juniors learning on a client's dime. Every build is led by someone who has shipped production AI before. ### Bespoke over off-the-shelf We turn down work a subscription would solve just as well, and say so out loud. It costs us revenue and buys us the only thing worth more. ### You own everything Code, prompts, evals, infrastructure. It lands in your repo, on your cloud. We build the moat; you keep the keys. ### One team, no handoffs The people who scope your build are the people who ship it, and the ones still there after it launches. None of these four is a growth strategy. They are the constraints that make the work worth buying, and every one of them has cost us a deal at some point. 10 · Let's build ## The Best Time To Own Your AI Was Last Year. Tell us what you are trying to build. You will hear back from a human, usually the founder, and usually with an opinion about whether it should be built at all. [Book a free call ](/book)[Contact us](/contact) [koso.ai](/)[The AI OS](/ai-os)[Free AI agents](/agents)[The team](/about)[LinkedIn ](https://www.linkedin.com/company/koso) Koso is a brand of Ideanab Private Ltd, registered in England no. 16344048.