OMNI by Rta Labs

Your business runs on workflows.

OMNI turns them into specialized AI agents built on your own documents and data, working alone or chained into complete workflows that run on schedule, ask before they act, and account for every step.

90.7% Benchmark accuracy (frontier LLM scored 75.3%)
94% Of requests answered by your own agent, with no frontier LLM fees
8–18× Fewer tokens per request than per-call frontier LLMs
The anatomy

Circles leave gaps. A Lattice has none.

AI models are powerful. Cluster them together and the gaps appear: glue code, lost context, handoffs nobody owns. OMNI gives every model a square enclosure with guardrails, memory, and routing, then tiles them into a Lattice bound by the bus. Edges click together. No gaps, at any scale.

Work falls through A cluster of frontier models
Nothing falls through The OMNI Lattice
The mix

Your workflows mix into a shade that belongs to you alone.

Every workflow you run carries its own color. Pour them into OMNI and they blend into one agent trained on your documents, your rules, your voice. Nobody else's agent is your color. That agent is your OMNI.

Try it: name the work your business actually runs.

your OMNI agent
Each workflow gets a color. The blend is yours alone. Click a chip to remove it.
Measured, not promised

Benchmarked on real work, with published methodology.

Same tasks, same test sets, same scoring. Methodology available on request.

90.7%

Benchmark accuracy on real business tasks. The frontier LLM baseline scored 75.3% on the same battery.

90% vs 10%

On measured 50 item batch workflows, the multi agent OMNI system completed 90% of runs versus 10% for a single frontier model given identical tools and instructions, at a third of the cost per completed workflow.

0

Unrequested actions. Across 340 scored cases designed to bait an agent into doing more than it was asked, OMNI took none and committed no safety violation. The frontier model took seven of each.

Accuracy vs. cost per million requests
Same tasks, same test sets, same scoring. Each dashed line is one benchmark domain: the arrow runs from the per-request frontier call to the OMNI agent.
OMNI agentPer-request frontier LLM
60%70% 80%90% $1$10 $100$1,000$10,000 cost per 1M requests (logarithmic) Topic routing · 82× cheaper Financial docs · 24× cheaper Support triage · 13× cheaper
Financial documents 24x cheaper
OMNI 90.7%
Frontier 75.3%
Topic routing 82x cheaper
OMNI 86.6%
Frontier 84.5%
Support triage 13x cheaper
OMNI 81.2%
Frontier 85.5%
hover or tap any point for the full comparison · tap again to unpin

Based on internal benchmark results from the OMNI Frontier Index.

Powered by Aura

Three systems generic AI tools cannot replicate.

01

Instant Expertise

Aura RAG grounds every answer in your own documents. Your agent cites your material, never the open internet's guess.

02

Persistent Memory

Your agent remembers every interaction and every action it took, in a typed ledger it can never confuse with conversation.

03

Deep-Tuned Intelligence

Train compact specialist models on your labeled data. Routine decisions resolve locally in milliseconds; hard ones escalate.

Pick the frontier model that fits each agent

The Lattice is engine-agnostic: choose the reasoning model per agent, swap it later, keep everything else.

Google Anthropic OpenAI SpaceX Cohere

30 integrations, where your team already works

Connect the tools you use today; your agents act inside them.

Gmail Google Sheets Google Drive Slack Microsoft 365 WhatsApp Stripe Shopify
Security & infrastructure

Enterprise-grade from day one.

Isolation proven on every release

An external probe tries to reach tenant data as an anonymous caller before any deploy is allowed to complete. If a single endpoint answers, the release stops. Enterprise runs on dedicated deployments with their own infrastructure boundary.

Your documents do not linger

Source files are deleted once your model has learned from them. Access credentials for connected tools are encrypted at rest, and the majority of requests are answered by your own model without leaving your deployment at all.

.aura, the data layer underneath

Our own storage format, built because general ones were the bottleneck. It is range-addressable, so reading a hundred records moves a fraction of the data a conventional file would, feeds training several times faster, and answers lookups in microseconds under concurrent load. It is why your agents stay fast as your corpus grows.

Rta Labs RTA LABS | Google Cloud
Start with a Lattice

Preconfigured agent teams for the work you repeat.

Each one is a team of agents with the workflow already wired between them. Open any Lattice to see who it is built for, what it delivers, and where pricing starts.

Platform pricing

Build your own. Simple, transparent pricing.

The plans below are for teams building their own agents. Lattices are priced separately, on their own page. We configure every new deployment with you, so tell us what you need and we will get you running.

Starter
$49/mo
For individuals and small projects
  • 1 AI Agent
  • 3,000 credits/month
  • 3 Integrations
  • Custom data training
  • Weighted data support
  • Email support
  • Basic analytics dashboard
Team
$199/mo
For growing teams and businesses
  • 5 AI Agents
  • 15,000 credits/month
  • 15 Integrations
  • Custom data training
  • Weighted data training
  • Priority support
  • Advanced analytics
  • Team collaboration
Enterprise
Custom
For large-scale deployments
  • Unlimited Agents
  • Unlimited Integrations
  • Dedicated infrastructure
  • Custom model fine-tuning
  • SLA guarantees
  • Dedicated account manager
  • SSO & advanced security
Contact us to get started
OMNI by Rta Labs

AI that fits your business.

Available on Google Cloud Marketplace.