dAutomata transforms enterprise APIs into autonomous, deterministic coworkers in under 60 seconds. Powered by self-describing Dynamic EAV-Graph Cognitive Memory, sub-5ms Google CEL policy guardrails, and zero-data retention execution inside your VPC.
Traditional probabilistic architectures attempt to stuff 8,000+ noisy tokens of raw markdown and chat history into LLM context windows—causing catastrophic latency, ballooning compute costs, and critical hallucinations. dAutomata's self-describing Dynamic EAV-Graph indexes operational knowledge into typed entity-attribute-value triples, hydrating verified micro-prompts in sub-2ms.
Slack, Teams & Email captured via HMAC SHA-256 webhooks. Multi-channel ingest and intent recognition with zero interrogation.
Traverses typed semantic triples connecting user, repo, branch, and Jira ticket with vector embeddings and entity resolution.
Dynamic context injection & constraint enforcement. O(1) memory cache hydrates 100 typed facts vs 8,000 noisy tokens (< 2ms).
Temporal workers capture experience, refine knowledge, and continuously improve models behind sub-5ms CEL policy gates.
Task execution, response formatting, and tool invocation with deterministic single-click Slack & Teams authorization cards.
Field-tested deterministic playbooks operating across Fortune 500 production clusters with guaranteed sub-minute resolution. Click any playbook to inspect CEL policies and trace logs.
Pinpoints offending git commit across K8s pod logs, isolates blast radius, and generates Slack rollback authorization card.
Correlates invoice anomalies with system telemetry, drafts Stripe refund payloads, and triggers CFO threshold approvals.
Detects exfiltration events, terminates Okta sessions, rotates AWS IAM keys, and logs SOC 2 audit trail.
Evaluates churn triggers and Zendesk sentiment in real-time, executing pre-approved concession discounts via HubSpot.
Detects Airflow task failures, isolates upstream schema drift mutations, and triggers clean checkpoint recovery runs.
Grants temporary production bastion shell access with hard-coded 60-minute TTL and immutable terminal recording.
Continuous cryptographic SHA-256 signing of all state transitions and policy gates, exported directly for external audit.
Aggregates Stripe MRR, Brex bank balances, and AWS burn rates into a unified morning Slack briefing for the executive suite.
Deterministic Policy & Cognitive Memory Layer with Sub-5ms CEL Interceptor and Sub-2ms EAV-Graph Engine.
Built for SMB self-serve speed
Built for regulated, in-VPC workloads
Architectural comparison against legacy robotic process automation, probabilistic frameworks, and traditional iPaaS.
| Feature Dimension | Legacy RPA (UiPath) | AI Frameworks (LangGraph) | iPaaS (Zapier / Workato) | dAutomata™ Platform |
|---|---|---|---|---|
| Execution Model | Brittle UI scripts & screen scraping | Probabilistic Python loops (prone to loops) | Rigid trigger-action conditional chains | Deterministic State Machine + LLM Plan |
| Time to Connect API | Weeks of manual configuration | 2–4 Weeks manual engineer coding | Days of manual form mappings | < 60s Spec-to-Tool Ingestion |
| Organizational Memory | Static desktop profiles | Probabilistic Vector RAG (Hallucinates) | Isolated key-value data stores | Dynamic EAV-Graph (< 2ms Hydration) |
| Runtime Learning Loop | None (Requires script rewrite) | High-risk prompt injection vulnerability | None | Decoupled Async Temporal Learning (CEL Gated) |
| Security & Data Plane | Desktop VMs / High maintenance | Self-built infrastructure overhead | Multi-tenant cloud SaaS only | In-VPC BYOC Isolation (Zero Egress) |
| Verification Latency | 30s - 2m UI render pauses | 5s - 30s LLM roundtrips | 5m - 15m polling intervals | Sub-5ms Deterministic Policy Gate |
Predictable models designed for teams validating rapid workflows or enterprises securing mission-critical infrastructure.
Calculate operational engineering hours and budget reclaimed through deterministic Coworker automation.
Hard cryptographic commitments backed by enterprise penalty SLAs.