Enterprise AI fails on the plumbing, not the intelligence
So we built antaivo's AI from the foundations up.
Anyone can add a chatbot to an existing platform. Making AI dependable at enterprise scale takes architecture: one set of rules, a complete audit trail and the freedom to choose your model. That's what takes AI from impressive demo to everyday tool.
Orchestration layer
One control tower for every piece of AI
Every AI request in antaivo, from taivo, from agents, from forecasts, passes through a single orchestration layer that applies the same rules, audit and model controls everywhere.
antaivo: built in from the ground up
Consistent, auditable AI that's ready for production.
AI bolted on, feature by feature
- Workforce AIOwn rulesOwn audit logOwn model
- Finance AIOwn rulesOwn audit logOwn model
- Reporting AIOwn rulesOwn audit logOwn model
Inconsistent rules, scattered audit trails, and AI that stalls at proof of concept.
Trust
Built for the questions auditors ask
Can we use our own model?
Choose your model
antaivo is designed to be model-agnostic, connecting to public or private large language models. Your AI strategy, policies and costs stay in your hands, today and as models change.
How do you stop the AI making things up?
The math is never guessed
Every calculation runs in antaivo's deterministic calculation engine, never in the language model. That's how we reduce the risk of confident but wrong answers.
Where did that answer come from?
Every answer shows its source
taivo's answers are grounded in your data, with citations that show exactly where each one came from.
How do we know what happened?
Every action leaves a record
An immutable audit log captures every AI suggestion and the named person who approved it.
Staged autonomy
Autonomy, at the pace you choose
antaivo doesn't ask you to hand over control on day one. Autonomy grows in stages, inside the guardrails you set.
- 1
Assist
taivo answers questions, builds reports and explains what changed, grounded in your data.
- 2
Propose
Agents spot issues and draft corrective actions. A named person approves every one.
- 3Coming soon
Act
Autonomous agents take on defined work within the guardrails and permissions you set.
You stay in control. Turn AI on or off by project, team or location, and decide how far autonomy goes.
Get started
Enterprise AI, not another proof of concept
antaivo was built with the plumbing to go into production.
Too many AI projects stall at the demo stage. See how antaivo's orchestration layer, model choice and audit trail make AI something your organization can rely on.
Live webinar
Wed, November 4, 20264:00pm GMT / 11:00am EST
See antaivo live on November 4.
Join our upcoming webinar to witness what happens when your portfolio stops waiting to be asked.
Speakers
Susanne KerinsHostChief Marketing Officer
Conor O'SullivanChief Product and Technology Officer
Tom DaviesSenior Solutions Consultant
Eoghan MartinChief AI Officer
Register for the webinar
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FAQ
The questions that come up in every enterprise AI conversation, and how antaivo answers them.
An LLM is the “brain” behind generative AI. It predicts the most likely answer rather than looking up a fact, which is why antaivo surrounds it with guardrails.