Build release candidates
Compress a typical 12-week product path into a scoped, tested, human-reviewed release candidate.
EngynOS converts enterprise intent into governed autonomous execution — orchestrating agents, memory, integrations, QA, and observability inside a single platform with human-in-the-loop at every gate.
Specialist agents take their seats around the mission — planning, building, reviewing, and securing the work — then act only through governed, human-approved gates.
EngynOS carries every mission from initial intent through agent coordination, QA evidence, approvals, and governed release.
Go from product intent to a scoped, tested release candidate with governed agents and evidence.
Explore use caseUse agents, memory, and QA evidence to change existing systems with less delivery risk.
Explore use caseGenerate, run, and govern quality checks from requirements through release.
Explore use caseFrom intent to governed release, EngynOS keeps every agent, check, and approval visible in one live telemetry view -- nothing happening off-screen.
EngynOS sits at the center, with product surfaces orbiting the mission rather than competing for attention. Hover any surface to focus it.
EngynOS sits at the center, with every product surface orbiting the mission rather than competing for attention.
The cards now feel more like a designed suite: numbered, kinetic, and direct, with enough personality to scan without becoming a dashboard.
Plan, build, test, release, and improve software in one AI-native delivery platform.
View productTurn goals into missions, watch delivery health, and keep approvals moving.
View productCoordinate specialist agents with shared context, tool scopes, and human gates.
View productCapture decisions, requirements, tickets, releases, and team knowledge for reuse.
View productConnect repositories, QA tools, cloud systems, data sources, and workflows.
View productApply policy, identity, approval, compliance, and audit controls across AI execution.
View productFrom building new applications to operating complex production systems, EngynOS helps teams execute delivery with speed, consistency, and control.
Compress a typical 12-week product path into a scoped, tested, human-reviewed release candidate.
Modernize business-critical systems by automating refactoring, testing, and deployment across existing codebases.
Monitor, triage, and resolve production issues with agents that continuously maintain delivery workflows under human oversight.
Ship features faster while EngynOS handles development workflows and engineers focus on product decisions.
From founders to enterprise platform teams — governed AI delivery mapped to your mandate.
EngynNexus speaks the protocols your stack already runs on — over MCP, OpenAPI, and gRPC. No lock-in.
240+ integrationsResponsible AI is a control surface, not a slide. Every agent action is signed, logged, and replayable. Every model has an evaluation register. Every customer keeps full sovereignty over data, code, and decisions.
Open the trust centerApproval workflows on every production-affecting action. Hardware-token gates. Breakglass paths logged separately.
Every prompt, retrieval, tool call, and decision is hash-pinned in a tamper-evident ledger. Replay any mission, any time.
Cryptographic tenant boundaries. Zero retention by default. Customer-managed encryption keys via KMS or HSM.
Evaluation register for every model with bias, drift, and capability reports. Pinned versions you control.
Cloud, your VPC, or fully air-gapped. Same control plane. Regional residency enforced at the platform layer.
GDPR, CCPA, APP rights honoured end-to-end. Granular consent, data subject request automation, regional purge.
Concise answers to the main objections buyers bring to AI software delivery.
Rules, permissions, data boundaries, and release gates are part of the operating layer.
Important decisions can pause for review, escalation, or sign-off before they move.
Missions retain traceable context across prompts, tools, tests, reviews, and releases.
Engyn scopes agents to approved missions, tools, data, and policies, then records decisions and approvals as delivery evidence.
Yes. The Integration Mesh is designed to connect repositories, tickets, QA systems, cloud services, data sources, and enterprise workflows.
No. Engyn is designed for human-led delivery, with agents handling planned execution while teams keep control of intent, review, and release.
Start with the product cards for platform depth, or join the waitlist to review missions, governance, QA evidence, and integrations together.
Walk through governance, QA evidence, and integrations with our team in one demo.
Secure access to the EngynOS master console. Synchronise organisational directories, provision custom AI agents, and gain architectural control in under 30 minutes.
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