Own your intelligence

AI infrastructure for data that cannot leave the building.

The teams with the most to gain from AI are the ones least able to send their data to an API. Zybuu builds the layer that runs where the data already lives — on your hardware, against models you host, with every action recorded.

Titan is running now · on-prem · air-gap capable

The thesis

7.80× harness > model
variance

The scaffold around the model decides more than the model does.

A controlled study on SWE-bench Verified found harness-induced variance exceeds model-induced variance by 7.80×, reversing the ranking in 6 of 9 model-pair comparisons. Change the scaffold — the context management, the tool contracts, the permission model — and the same model becomes a different product.

Most of the industry treats that layer as glue code around someone else's API. Zybuu treats it as the product: engineered separately, evaluated separately, behind a provider abstraction. Better model, better system. Better harness, better system. Both compound.

Products

One product shipped. A platform underneath it.

Titan is live and in use today. The verticals below share its foundations — the same execution sandbox, policy engine, and audit layer — and are stated as what they are: planned, not shipped.

Titan Live

An on-prem, air-gap-capable deep agent platform. Model-agnostic across 20+ providers, switchable from the console. Reads and writes Word, Excel, PowerPoint and PDF; draws diagrams and charts; debugs a live Kubernetes cluster and reaches remote hosts over SSH — every write behind a human approval gate.

Open the console →

GPU & Workload Benchmarking Planned

Reproducible evaluation for inference workloads: what a model actually costs on your hardware, and which scaffold configuration wins on your tasks rather than on a public leaderboard.

AI Security & Red Team Planned

Adversarial testing for agent deployments — prompt injection, tool abuse, sandbox escape, and exfiltration paths, run continuously against your own configuration.

Observability for Agents Planned

Traces built for non-deterministic systems: which tool call changed the outcome, where context was lost, what a run cost, and why two identical prompts diverged.

Inference Infrastructure Planned

Serving and scheduling for self-hosted models, sized for teams running their own GPUs rather than renting capacity by the token.

Private Cloud Deployment Planned

Signed, verifiable bundles for enclaves with no internet route — the install path Titan already ships, generalised across the platform.

Evidence

Numbers that survive a technical diligence call.

16 / 16adversarial attacks blocked in the red-team suite
536test functions across the engine
20+model providers behind one abstraction
0bytes leaving the network by default

What is not true yet. Zybuu holds no SOC 2, ISO 27001 or HIPAA certification. There is no support SLA. A human red-team engagement remains outstanding and is not substitutable by the adversarial suite. Those are stated here rather than discovered later, because the buyers this is built for will ask — and an honest answer is worth more than a careful one.

Limitations

What Titan does not do.

Every row below is a constraint we would rather you knew before a trial than after one. Where there is a path forward it is stated; where the honest answer is "not yet", it says that.

ConstraintWhat it means in practice
Vision needs a vision model Titan reads images, but only on a model that can see. A local text-only model refuses the attachment by name rather than guessing at it.
Single node Sessions live in one process. There is no horizontal scaling and no failover; a restart ends running turns, though transcripts and accounts survive it.
Postgres only The durable store is Postgres. Other databases are reachable through SSH and their own CLI, not a native driver.
Auth mode is restart-only Switching between local accounts and an identity provider rebuilds the routing table, so it needs a restart. Everything else in settings applies live.
Prompt injection is contained, not solved There is no complete defence, and we do not claim one. The architecture assumes injection sometimes succeeds and limits what it can reach: absolute deny rules, no egress by default, and every observation tagged untrusted at ingest.
No certifications No SOC 2, ISO 27001, HIPAA or FedRAMP. Air-gap deployment, a full audit trail and row-level security are what we have instead — and they are not the same thing as an audit.

Building this in the open.

Zybuu is early and founder-led. If you are an investor, a team with data that cannot leave your network, or an engineer who finds the thesis interesting — the fastest way to judge it is to use the product.