With Talos you can
build and evolve
production systems
Providing A Dependable Path
From Ticket To Deployment
Plan, implement, test, and refine inside a private environment governed by your policies—while Talos handles routine SDLC work and produces audit-ready records automatically.
Coordinated Subagents
Specialized agents follow repeatable steps to deliver secure, reliable, and scalable enterprise software.
Deep Code Intelligence
Structured system understanding gives precise insight while keeping raw source code protected.
Structured Requirements
Capture business, technical, and compliance needs to create clear, verifiable system plans.
Air-Gapped Security
Customer-defined policies and local execution keep sensitive data inside trusted environments.
Audit-Ready Compliance
Deterministic workflows create permanent, exportable audit records for regulated compliance.
Full SDLC Orchestration
End-to-end automation coordinates consistently across the entire software development lifecycle.
A Process Auditors Can Actually Test
Talos runs every task as a prescribed procedure from a library of 160+ engineering workflows. The sequence of steps, the tools, and the output format are fixed and identical on every run — only the content within each step is model-generated.
The agent plans its own path
Devin, Copilot agent mode, Cursor and the rest decide at runtime how to decompose the work and which tools to call. Two runs of the same task take different paths. A process the agent re-invents every run is, for an auditor, not a testable control — it’s a suggestion discovered after the fact.
The process is fixed, the content is generated
Talos executes a defined procedure: each step tells the agent exactly how to operate and with which tools. The agent doesn’t invent the process — it produces the model-grade content inside a process that is specified in advance, enforced by the system, and recorded step by step.
Repeatability
The same task follows the same steps, in the same order, using the same tools — across sessions, users, and machines. "Task X is always performed this way" becomes an attestation, not a hope.
Step-level auditability
Each step is recorded immutably — which workflow governed it, which step it was on, which tools it used, and the output it produced. Auditors see the procedure, not just the result.
Explainability, not forensics
Because the workflow is knowable in advance, "how does your AI do this?" is a document you hand an auditor before a single run — not a reconstruction assembled from scattered logs.
The library is extensible — when you need a procedure that doesn’t exist yet, it’s authored with you (or you build it with a Talos agent) and stays private to your organization, inheriting the same determinism and step-level auditability.
Without a Knowledge Gap
Most AI coding tools rely on static model training which is disconnected from up-to-date documentation, CVE databases, and package information.
Talos is powered by the Daedalus Knowledge Base: a structured system of expert-level engineering knowledge built directly into the platform, including:
With Every Release
Every code change is translated into structured, compliant documentation.
When a pull request is approved, Talos generates a complete change record in minutes, which includes:
Commits
& Compliance-Ready
For each release, Talos reviews all merged PRs, links them to Jira tickets, and produces structured and categorized release notes.
Our immutable audit trails capture:
You Decide What Is Allowed
To Leave Your Network
Most AI tools give you one fixed answer about what crosses the wire to an external model. Talos Shield gives your compliance team four levels to choose from — set by your administrators for your whole organization, not dictated by a vendor.
Set once for your whole organization
Your security team chooses the Shield level that matches your compliance posture, and it applies across every project — same platform, one policy, one audit trail.
Enforced as an administrator floor
Your security team sets the policy once. Developers cannot weaken it from the command line or local config. The policy is enforced by code, not by trust.
Recorded on every interaction
The active policy level and every redaction is written to your audit trail, so auditors can verify what was permitted to leave for any session.
Frontier-Quality Reasoning Through
The Cloud You Already Trust
CIOs are usually forced to choose between a weaker local-only model and adding a new AI vendor to the compliance boundary. Talos removes the trade-off: when the hardest tasks call for frontier-level reasoning, it routes through a destination your compliance team has already approved.
AWS
Route the toughest reasoning through Bedrock inside the AWS account you already operate, with evidence flowing through your existing CloudTrail pipeline.
Microsoft Azure
Keep frontier requests inside your Azure tenant and region, so data-residency stays settled and evidence integrates with Azure Monitor.
Google Cloud
Send frontier reasoning to Vertex AI in your HIPAA-aligned GCP project, keeping sensitive workloads inside your established boundary.
Talos inherits whichever cloud compliance umbrella you already hold — your existing BAA, FedRAMP boundary, or DPA covers the path. No new vendor relationship. No new authorization package.
An Autonomous Engineer That Works Your Queue
Point Talos at your backlog and it takes a ticket from intake to a reviewed pull request — every step attributed, policy-bound, and recorded. Your administrators choose how much autonomy Talos is granted.
Runs in your CI/CD
First-class pipeline sessions for pre-merge review, post-merge regression analysis, and deployment safety checks — each under the right Shield policy for its environment.
Watches production
In autonomous mode, Talos monitors logs and observability streams for security, compliance, and performance anomalies, and acts under your authorized response patterns.
Wires into your toolchain
Connects to your version control, ticketing, CI/CD, and DevOps systems — and you can author your own private integrations with a Talos agent.
How Talos Compares
To Other AI Tools
Many AI Tools are excellent at what they do: inline code suggestions, vibe coding prototypes, and AI-assisted editing and debugging.
Talos provides a persistent, autonomous software engineering agent that understands your codebase and respects your security boundaries.
An AI Orchestra
Built for Enterprises
Built with security and compliance at the core.
End-to-end SDLC orchestration
Coordinate architecture, code generation, testing, deployment, and operations in a single, closed-loop system.
Security & compliance by design
Embed audit logging, static analysis, dependency scanning, and policy enforcement directly into every stage of delivery.
Built-in observability
Ship production-ready systems with structured logging, metrics, and distributed tracing already configured.
Private, closed-loop execution
Run entirely within isolated environments with no client data retention and full control over execution.
LLM & language agnostic
Operate across programming languages and model providers without vendor lock-in.
Immutable audit trails
Track who changed what, when, and why to support regulated and security-conscious environments.
Native VCS & toolchain integration
Works with your version control, ticketing, CI/CD, and DevOps systems — locally or remotely — fitting cleanly into existing development workflows.
Reduce contractor dependency
Automate the routine engineering and compliance work often outsourced to consultants while keeping control in-house.
Managed infrastructure options
Adopt enterprise-grade automation without building specialized ML infrastructure internally.
Conduct This Orchestra
On Your Terms
See what an AI software engineer with real memory, real understanding, and real security looks like.