OMNI lets you build specialized AI agents trained on your own documents, knowledge, and workflows, then deploy them across Slack, Gmail, WhatsApp, and 30 business platforms your team already uses. No code. No ML expertise.
Every OMNI agent is built on three proprietary systems that generic AI tools simply cannot replicate.
Upload your documents and your agent becomes a domain expert in minutes. Aura RAG delivers real-time retrieval across 60+ file formats with zero training time. Your agent is production-ready from day one, answering questions with source-backed precision.
Your agent remembers context across every conversation. Aura Mem OS is a 3-tier memory system that learns user preferences, retains key facts, and builds institutional knowledge that compounds over time. The more your team uses it, the smarter it gets.
Go beyond retrieval. Aura Training creates a custom-tuned specialist model weighted to your highest priority data. Your agent doesn't just search your knowledge, it internalizes it and reasons like your best team member.
From guided creation to multi-agent automation, the OMNI Platform gives you the tools to go from idea to production in minutes.
Your conversational, no-code agent builder. Describe what you need, upload your data, and the Concierge handles the rest: blueprint, intelligence layers, and deployment. Idea to live agent in a single session.
Chain agents into automated pipelines with conditional logic, scheduling, and smart handoffs: intake qualifies a lead, research enriches it, outreach follows up. Running 24/7, no human in the loop.
Three domains, one platform. Each agent trained itself on raw documents (no labeling teams, no prompt engineering) and was then scored blind on data it had never seen.
Benchmarked on real bank and card statements the agent had never seen (500 line items, three independent runs). OMNI beat the frontier model by 15 points: the precision automated bookkeeping, reconciliation, and reporting workflows demand.
Benchmarked on banking77, the industry-standard public test of real customer messages across 77 support intents, graded against human labels. OMNI came within ~4 points of the frontier at 1/13th the cost and 10× the speed: the economics that make automating front-line support viable at scale.
Benchmarked on AG News, a widely used public dataset for routing content by topic, graded against human labels. OMNI outperformed the frontier model while answering 41× faster: built for high-volume document, email, and content routing.
Methodology: three independent evaluation arms per domain (frontier-only, frontier plus Aura RAG, and the full OMNI agent: Aura RAG plus a trained specialist model), identical prompts and deterministic scoring; frontier arms received the complete label set for fair closed-set comparison. Frontier arms above ran Gemini 3.1 Pro (Google's current pro-tier model), n=500 per domain × 3 independent runs, July 2026; additional frontier rows, including earlier Gemini generations, appear in the full report. Public-benchmark agents trained exclusively on the pipeline's own automated labeling and were scored against each dataset's human-labeled test split. Costs computed from measured provider token usage at published rates. Full benchmark report with per-case data, error analysis, and limitations is available under NDA on request.
Industry-first: assign importance weights to each data source. Your agent learns what matters most to your business, not just what's most frequent in the dataset.
Our Aura-Core engine processes 50+ file formats (PDFs, DOCX, CSV, JSON, images, and more) into optimized training datasets automatically.
Agents run on your choice of frontier model from Google, Anthropic, OpenAI, xAI, or Cohere, enhanced with retrieval-augmented generation via Aura RAG and persistent context from Aura Mem OS for maximum accuracy and continuity.
Deploy agents into Slack, Gmail, Salesforce, HubSpot, Shopify, QuickBooks, BigQuery, DocuSign, and more, right where your team already works.
Track token usage and cost per agent, response quality, and an immutable audit trail of every action taken: the visibility finance and compliance teams require.
Guardrails hold risky actions for approval, every customer's data stays isolated (never shared across agents), and everything runs on Google Cloud with a full audit log.
Every OMNI agent pairs your trained specialist with the frontier model you choose, per agent. Google Gemini and Anthropic Claude are live today; OpenAI, xAI, and Cohere are rolling out.
Google Gemini
Anthropic Claude
OpenAI
xAI Grok
CohereConnect to popular services with pre-built authentication. No custom code.
30 integrations with more on the way!
Train on your help docs, FAQs, and past tickets. Deploy to Zendesk, Intercom, or live chat to resolve issues instantly.
Feed in product specs, case studies, and objection handling. Your agent responds via Slack or CRM with the perfect answer.
Upload contracts, policies, and regulatory docs. Query complex legal questions and get sourced answers instantly.
Process medical documentation, clinical protocols, and research papers. Enterprise-grade security for sensitive data.
Product catalog comprehension, order support, and returns automation via Shopify, WhatsApp, or your storefront.
Internal wikis, SOPs, onboarding materials: make institutional knowledge searchable and actionable by any team member.
Start free. Scale when you're ready.
For individuals and small projects
For growing teams and businesses
For large-scale deployments
Rta Labs OMNI runs on Google's global infrastructure, the same foundation that powers billions of users worldwide. As a Google for Startups partner, we deliver enterprise reliability and security at every layer.
Your data is encrypted at rest (AES-256) and in transit (TLS 1.3), processed in Google Cloud SOC 2 Type II certified infrastructure, and never shared across customer boundaries.
Join teams already using Rta Labs to leverage AI within their existing workflows.