Skip to main content

Rethunk.AI · Accountable AI engineering

What ran? Under whose authority? Can you prove it?

Built for teams shipping AI agents into regulated environments

Services and products

Rethunk.Tech brand mark

Services grounded in delivery discipline

We help teams work with Bastion and Citadel through structured evaluation engagements, and support broader regulated delivery through hands-on teams and platform engineering. The conversation stays practical from the first call.

  • Bastion evaluation: policy gate, operator intent, and cryptographic evidence path
  • Citadel evaluation: AI-native git forge, KG seeding, and repository governance
  • Combined platform engagement: both products, one onboarding track
  • Embedded delivery for regulated environments and platform engineering
Explore product evaluations

Structured engagements to assess Bastion, Citadel, or both in your environment - from policy gate setup to full platform onboarding.

Bastion

Bastion evaluation engagement

Structured engagement to assess Bastion in your environment - policy gate setup, IRONLAW configuration, operator intent mapping, and cryptographic evidence path validation.

Learn more
Citadel

Citadel evaluation engagement

Engagement to assess Citadel in your environment - knowledge graph seeding, repository governance, AI-native forge configuration, and integration with your existing delivery pipeline.

Learn more
Both

Combined platform engagement

Combined evaluation covering both Bastion and Citadel together - audit feed validation, joint onboarding, and a unified evidence path from agent operation to repository governance.

Learn more

Hands-on engineering support for teams shipping in regulated and high-stakes environments.

Embedded delivery teams

Dedicated teams that plug into your roadmap, keep delivery moving, and adapt as priorities change - including regulated environments where governance and shipping speed both matter.

Learn more

Platform engineering

Multi-app systems and governed access patterns aligned with Rethunk.AI - chain of command from intent to shipping work.

Learn more

Security and compliance

Threat modeling, secure SDLC hooks, and review practices that keep shipping velocity and risk in balance.

Learn more

Data and integrations

Reliable data pipelines, integrations, and observability so product teams trust what they ship.

Learn more

How an engagement works

How we partner from first call to sustained delivery - across both Bastion and Citadel

Each engagement covers the steps relevant to your product scope.

  1. 1

    Discovery

    We align on goals, constraints, and what success looks like - product fit for Bastion, Citadel, or both, plus platform and delivery cadence.

  2. 2

    Policy gate setup

    Policy gate setup and IRONLAW configuration against your agent topology, operator intent model, and audit obligations.

  3. 3

    KG seeding

    Knowledge graph seeding, repository governance configuration, and integration with your existing delivery pipeline.

  4. 4

    Audit feed validation

    Audit feed validation, evidence path verification, and cross-product integration checks to confirm the full chain from agent operation to repository record.

  5. 5

    Engagement onboarding

    Engineers integrate with your tools, ceremonies, and stakeholders. We onboard your team to both products and keep work moving in predictable increments.

  6. 6

    Scale or hand off

    We tune scope, throughput, and skills as priorities shift, then scale or hand off cleanly with documented runbooks and evidence artifacts.

What shaped this

Perspectives on governed AI operations - from discovery conversations and our own delivery philosophy.

We do not need another dashboard labeled "governance." We need attributable intent and a chain we can explain to a regulator. Keep the conversation on evidence, not vibes.

What we hear from engineering leaders

The hard question is not "does the model hallucinate" - it is "who authorized that action and can you prove it." That is a chain-of-command problem, not a model problem.

What we hear from security teams

We publish the IRONLAW doctrine openly so buyers can argue with the rules on their merits, not guess what "responsible AI" means in our marketing.

Our stance

These are not customer testimonials. The first two reflect themes we hear repeatedly in discovery conversations with engineering and security leaders. The third is our public stance on open doctrine.

Ready to map the next step?

If you need governed AI operations and a team that ships the platform and stays hands-on through delivery, let's talk.