Enterprise AI platform for secure automation and business integration

Business AI
under control
Platform Core Enterprise AI Platform Canonical Domain Contracts Deterministic State Machines Project-Centric Workspace uWebSockets.js API AI Runtime Local LLM Runtime Prompt Behavior Profiles RAG + pgvector Deterministic Embeddings Answer Reranking MCP & Tooling Global Stack MCP Project MCP Universal Tools MCP OpenAPI + SDK Spec-to-Docs Compiler Reliability Worker + Outbox Idempotency Keys DLQ Replay Exponential Backoff Crash-Loop Guards Security & Observability Policy-as-Code (OPA/Rego) JWT / OIDC / mTLS Append-Only Audit Prometheus + OTel Grafana + Tempo

Platform Expertise

Governed AI. Reliable runtime. Business integration.

Platform Engineering

We build a single source of truth for AI operations: projects, tasks, approvals, memory, and publication pipelines in one deterministic platform.

  • Deterministic orchestration: Canonical contracts and state machines keep workflows predictable across teams and agents.
  • Modular surfaces: API, React workspace, and MCP layers let you scale from one team to multi-project enterprise operations.
  • Spec-driven delivery: Versioned YAML specs compile into docs, MCP outputs, and SDK artifacts with traceable history.

Runtime Security & Governance

We ship AI runtimes that stay inside your perimeter and enforce policy before execution, not after incidents.

  • Controlled execution: Scoped API keys, JWT/OIDC/mTLS options, strict contracts, and idempotency protection on write paths.
  • Governance by default: Approval gates, policy-as-code hooks (OPA/Rego), and append-only audit/event logs.
  • Failure isolation: Outbox retries, DLQ quarantine, and replay controls prevent silent delivery failures.

AI Ops & Integrations

We connect local AI capabilities to real business systems with observability and measurable reliability from day one.

  • Local AI stack: On-prem or hybrid LLM runtime, RAG with pgvector, rerank pipelines, and prompt behavior profiles.
  • Integration layer: Webhooks, Telegram dispatch, and API-first adapters for ERP, CRM, BI, and service workflows.
  • Operational visibility: Prometheus metrics, OpenTelemetry traces, and Grafana/Tempo dashboards across API and workers.

Platform Map

Enterprise AI platform architecture for business integration

A modular blueprint for integrating governed AI operations into product, support, compliance, and delivery teams.

Governed AI Core

State-machine contracts, policy hooks, and approval gates keep automation predictable.

Local AI Runtime

On-prem and hybrid LLM execution with RAG, prompt profiles, and bounded behavior.

Execution Layer

Worker queues, retries, DLQ, replay, and dispatch controls for production delivery.

Integration Adapters

API + MCP + webhooks for ERP, CRM, BI, support, and internal service workflows.

Observability

Metrics, traces, and event logs across API, workers, and pipeline runtime decisions.

Security

Scoped auth, optional mTLS, auditable actions, and enterprise security baselines.

Standards & FAQ

Engineering Standards

Key controls and practical answers for launching a governed AI platform in enterprise environments.

What can be automated first?Incident triage, tool dispatch approvals, document intelligence, and operational reporting loops.
Is this only for AI teams?No. Product, operations, support, and compliance teams use the same governed workflows through shared contracts.
Do we need a full re-platform?No. The platform integrates by API/MCP/webhooks and can run alongside your existing stack.
Can it run fully on-prem?Yes. Local-first deployment supports isolated and air-gapped environments with no mandatory external AI gateway.
How is access controlled?Scoped API keys, optional JWT/OIDC, optional mTLS, strict contracts, and policy-as-code approval gates.
How is auditability ensured?All key actions are captured in append-only audit/event logs with deterministic state transitions.
What happens on delivery failures?Outbox retries, exponential backoff, DLQ quarantine, and replay APIs prevent silent loss of critical events.
How do teams observe runtime health?Prometheus metrics, OpenTelemetry traces, and Grafana/Tempo dashboards for API, worker, and pipeline-level visibility.
Can we scale to multi-project operations?Yes. The control plane supports project-centric segmentation with deterministic contracts and bounded runtime controls.

Partner Network

Trusted by product teams and enterprise brands

Long-term partnerships in retail, manufacturing, finance, and IoT engineering.

Leroy Merlin Groupe Atlantic Teploluxe Schneider Group Tuya Inc. M.Digital ASIA A.T.L.A.S. IoT ViniLink EcoIslamic Bank SST Group AJProTech

Contacts

Launch your AI platform faster with enterprise-grade reliability

We design and roll out enterprise AI platform deployments for product, operations, and compliance teams. Timezone: UTC +6.

Our timezone is UTC +6.0 (Bishkek, Astana, Dhaka, Omsk, Solomon Islands).

Contact us any time.

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