
Automata transforms enterprise complexity into living, executable systems
Automata is an AI-native company that learns how your organization works across its people, processes, systems, and data, and uses that knowledge to design, build, and operate your digital services.
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Turn fragmented projects into a continuous, AI-orchestrated flow
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Reduce time-to-market from months or years to weeks
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Build a reusable knowledge base, not just one-off systems
THE PROBLEM
Enterprise software is still managed like one-off projects
Most organizations still manage technology through isolated projects, consultants, and documents. Architecture lives in slides, knowledge lives in people’s heads, and every new initiative starts from scratch.
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Slow and expensive delivery cycles
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High dependency on individual vendors and teams
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Systems that are hard to change once they go live
Automata exists to replace this with an AI-native, ontology-driven way of working.
ONTOLOGY
: HOW AUTOMATA “UNDERSTANDS” YOUR BUSINESS
Ontology: the core of Automata’s intelligence
At the heart of Automata is an enterprise ontology—a machine-readable, continuously updated map of your domains, rules, and interactions.
What the ontology captures
01
Entities
Customers, accounts, contracts, products, channels, architecture, legacy, compliance and more
02
Relationships
How these entities interact across journeys, departments, and systems
03
Rules & constraints
Regulations, policies, SLAs, approval paths, and domain-specific logic
04
Events & signals
Transactions, logins, failures, tickets, and other operational events
Why this matters
01
Shared language for business, IT, and AI
Everyone works from the same conceptual model, reducing misalignment.
02
Reusable knowledge across projects
Once a domain is modeled—such as payments or membership—it can be reused in new products, channels, or regions without starting from zero.
03
Safer, explainable automation
Because rules and dependencies live inside the ontology, Automata can propose and execute changes while respecting critical constraints.
As your projects progress, the ontology and evaluatable environment mature—so your AI becomes more capable, and your systems become more reliable with every iteration.

4X
Target improvement in project success rates
This reflects the standard we aim for with AI engineering built on the Zenith environment.
70%
Target reduction in development timelines
Driven by eliminating rework through an automated, evaluatable environment.
90%
Target reduction in system incidents
Achieved through simulation, pre-validation, and experience replay.
We are already applying Automata Ontology in production-grade projects with global organizations across.

HOW AUTOMATA WORKS WITH CLIENTS
From discovery to continuous evolution
Automata is an AI-native platform that automates how large enterprises build, operate, and evolve their digital systems.
We connect strategy, design, engineering, and operations through one continuous execution layer powered by an enterprise ontology.
01
Discover & Map
We ingest your architecture diagrams, APIs, logs, process descriptions, and documentation.
From this, we build an initial ontology that reflects how your organization actually works—not how it looks on paper.
02
Design & Validate
Using the ontology, our AI agents and experts co-design target architectures, flows, and operating models.
We simulate scenarios, test dependencies, and highlight risks before you commit to major changes.
03
Execute & Integrate
Automata coordinates work across your existing tools, teams, and systems.
We generate specifications, interface contracts, and code scaffolds; orchestrate AI agents; and integrate with your CI/CD and observability stack.
04
Operate & Learn
Once in production, Automata continuously observes how the system behaves.
Real-world events feed back into the ontology, and we propose improvements—new flows, optimizations, and refactorings—so your digital estate evolves instead of decaying.

CAPABILITIES & SERVICES
What Automata delivers
Build and maintain a living model of your domains, systems, and processes.
Enterprise Ontology Modeling
Use AI agents to support requirements, design, engineering, and testing in one connected flow.
AI-Orchestrated Delivery
Derive target architectures, integration patterns, and service boundaries from your ontology.
Architecture & System Design
Generate backend services, APIs, and workflows aligned with your standards and governance.
Code & Interface Generation
Connect logs, metrics, and events back to ontology entities to understand issues in business context.
Operational Intelligence
Identify technical debt, redundant systems, and consolidation opportunities based on real usage and dependencies.
Continuous Modernization
Signals
Our team brings experience across large-scale platforms, data systems, and complex enterprise environments.
We believe that the real asset of an organization is not just its code, but its structured knowledge—how everything fits together. Automata exists to capture that knowledge, keep it alive, and turn it into execution.
Automata doesn’t claim to have a perfect, finished answer. But we are confident in the direction — and we validate it through real enterprise projects and continuous R&D.
