Your AI Coding Tools
Have a Dirty Secret
Whenever you use a cloud-based AI system, your proprietary algorithms, business logic, and competitive advantage are sent to someone else's servers.
And every session, these tools reset - lacking the memory and deep understanding required to reliably improve an entire codebase.
Our AI Platform Is Built
For Enterprise Standards
Talos is the secure alternative — an agentic AI system powered by the Daedalus Knowledge Base that keeps your code private, maintains full system context, and delivers fully auditable software execution.
Your Code
Stays Yours
Talos runs where your code lives, on infrastructure you control.
Your Talos Shield policy decides what an external model can ever see — architecture artifacts only, redacted code, or nothing at all — and every interaction is audited.
Your Code
Stays Yours
- Pass security audits without AI-related exceptions
- Enforce data residency across any jurisdiction
- Operate fully in air-gapped environments
- Deploy tooling your security team will approve immediately
Intelligence
That Compounds
Talos builds and maintains a persistent understanding of your entire codebase.
It doesn’t reset each session. It learns - enabling deep-reasoning and continuous optimization.
Intelligence
That Compounds
- Onboard engineers in days, not months
- Retain institutional knowledge automatically
- Make decisions with full codebase context
- Eliminate repetitive context-setting with AI tools
Autonomous,
But Accountable
Talos operates at the level you choose from real-time pairing to autonomous execution.
Every action is traceable, reviewable, and aligned to deliver production-ready code.
Autonomous,
But Accountable
- Resolve well-scoped tickets autonomously
- Shift senior engineers to high-leverage work
- Ship pull requests that pass CI on first run
- Maintain full traceability across every action
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.
The Talos
System Lifecycle
Talos operates as a coordinated multi-agent system that understands, designs, deploys, and continuously evolves production software within your existing infrastructure and constraints.
From initial analysis to long-term operation, Talos expands engineering capacity while ensuring every change is secure, compliant, and fully auditable.
TALOS
UNDERSTANDS
System comprehension
Ingests your codebase, architecture, and workflows to build a complete, system-level understanding
Constraint mapping
Identifies security, compliance, performance, and operational requirements that govern production systems
TALOS
DESIGNS & BUILDS
Architecture planning
Translates requirements into auditable system designs across services, dependencies, and environments
Multi-agent execution
Coordinates specialized agents to safely build, refactor, and extend production codebases end-to-end
TALOS
DEPLOYS
Production-ready delivery
Ships secure, observable systems with logging, metrics, and tracing configured by default
Risk-controlled rollout
Deploys changes incrementally with versioning, testing, and release controls to minimize operational risk
TALOS
GOVERNS & SCALES
Full system visibility
Maintains continuous observability with transparent execution and immutable audit trails
Continuous improvement
Adapts and extends systems over time without rewrites, increasing capacity without increasing headcount
Talos Use Cases
Across the Stack
From Prototype to Launch
Move from business concept to production-ready software in a single, continuous workflow—without handoffs, rework, or guesswork.
Talos designs the system architecture, implements and tests the code, prepares deployments, and gives leadership clear visibility into scope, timelines, and launch readiness.
Reduce Operational Risk
Without Slowing Delivery
Each Talos workflow saves time and reduces risk on its own. Together, they form a continuous engineering operations layer that keeps the codebase healthy, secure, compliant, and fully documented — without constant human attention.
Faster Investigation
System context and change history shrink time-to-diagnosis.
Safer Releases
Validation, rollbacks, and risk checks reduce regressions.
Incident Readiness
Always-on records speed response, review, and recovery.
Autonomous Ops Layer
Security, compliance, and documentation run continuously.
One Platform, Not Six Vendors
The traditional path to AI in software engineering is to buy six separate tools — and reconcile six audit pipelines, six compliance reviews, six DPAs, and six SOC 2 reports. Talos collapses that into one platform that covers the full lifecycle.
A full-SDLC platform
Architecture, implementation, audits, deployment, CI/CD, and production monitoring — every phase on the same substrate.
- One compliance posture
- One identity model
- One audit pipeline
- One set of vendor agreements
The Same Product, Configured to You
From an air-gapped federal enclave to an open-network startup, Talos adapts through policy — not a different SKU. A few representative configurations:
Global Bank
- ModeSupervised & autonomous — no native execution
- EgressBedrock in the bank’s own AWS account
- ShieldArchitecture artifacts only — no source code leaves the bank’s network
- DeliveryHSM-signed bot identities, separate prod/non-prod
Regional Hospital Network
- ModeInteractive for clinical code, supervised elsewhere
- EgressAzure OpenAI in the hospital’s own tenant
- ShieldArchitecture artifacts only — PHI in code never reaches a frontier model
- AuditEncrypted, retained seven years
Federal Civilian Agency
- ModeSupervised only; autonomous disabled by policy
- NetworkZero external connectivity; offline update channel
- ShieldFrontier disabled
- IdentityPIV-backed authentication
Pre-Series A Startup
- ModeAny
- NetworkOpen
- ShieldDirect provider — Anthropic, OpenAI, or Google
- AuditOff
Every Daedalus workflow follows the same compliance-safe pattern. Frontier models reason over abstractions, local models executes with full code access on-premises, and everything is auditable.
Everything is policy-controlled, and companies configure exactly how much autonomy each workflow has.
Stop Sending Your Code
To The Cloud
Deploy agentic AI with full control over your infrastructure, data, and development workflows.