Astraed

Private AI Infrastructure, Built Around Your Firm.

Astraed deploys and operates private AI infrastructure for consulting firms—turning their knowledge and methodology into a secure, continuously improving knowledge management environment.

One view into your private knowledge environment · apply a firm-approved methodology to client work · 27 seconds
Control for the whole leadership team

One Environment. Three Executive Outcomes.

Astraed gives every executive control over the part of AI they are responsible for—firm performance, technology, or spending.

01 / CEO · MANAGING PARTNER

Turn Methodology Into Operating Leverage

Predefined skills, agents, and approved knowledge make proposals, diagnostics, research, and deliverables faster and more consistent.

Scale expertise, not overhead
02 / CTO · TECHNOLOGY & SECURITY

Set Model and Data Policy

Control which local and remote models each group can use, where the environment is hosted, and how access, retention, and auditability work.

Governed without vendor lock-in
03 / CFO · FINANCE & OPERATIONS

Make AI Spending Accountable

Direct premium models toward high-value work, monitor usage, and pay providers directly—with predictable annual managed operation.

Transparent costs tied to business work

One firm-controlled environment. Deployed, secured, operated, and continuously improved by Astraed.

The Workspace Your Team Uses. The Infrastructure You Control.

Your team gets one secure interface for client work while Astraed operates the infrastructure, knowledge, and capabilities behind it.

Select a capability to inspect the workflow.Click the screen to enlarge.

Astraed workspace with active-client folders and client project conversations
Proof, not promises

Measured operating leverage from a system the team actually uses.

−75%

reduction in operating costs in project development—from 20 people to the essential five.

“We went from 20 people developing projects to the five most important ones—the ones AI can't replace. Cost and time efficiencies, better quality, and client expectations met more fully than before.”
Francisco Cabrera

Francisco Cabrera · CEO, Cabrera & Co
849 working conversations · 12,757 files · 22 months on the platform

Growth Institute

Five methodology agents do the operating work of five marketing roles without growing payroll.

Infrastructure you controlPrivate cloud, your servers, or a disconnected environment.
Access by team and projectRole-based permissions with usage records.
Answers cite their sourcesUploaded files and transcripts are cited in answers.
Operated end to endMonitoring, backups, knowledge updates, and model changes included.

Compatible with leading AI and cloud platforms

The commercial model

One-Time Deployment. Annual Managed Operation. AI Usage at Cost.

The deployment fee covers architecture, installation, and personalization. The annual agreement covers operation, maintenance, monitoring, security controls, and updates. Your firm pays AI providers directly, with no Astraed markup on model usage.

Initial deployment

A private knowledge environment with 10 custom capabilities.

Agents, skills, or workflows built around your methodology, standards, and client work.

Deployed for your firm

The guarantee

30 days to prove value—or 100% of your money back.

We agree on success criteria at kickoff. Create at least 10 deliverables in the first 30 days; if Astraed does not meet them, we refund your payment.

Included with annual contract, paid upfront

PathMBA—a curated business library inside your AI.

Expert business knowledge your models can cite alongside your firm’s own.

Included with an annual agreement

Deployment in two weeks or less

About Five Hours of Your Team's Time. We Do the Rest.

You provide the documents that define how your firm works and one project owner. We design, deploy, configure, train, and continue operating the environment.

Week one01

Architecture, Deployment, and Knowledge

  • One-hour kickoff
  • Infrastructure, security, backups, and knowledge base

Result: Private knowledge environment ready to test

Week two02

Validation, Launch, and Operation

  • Real client workflows and refinement
  • Final permissions, training, monitoring, and update plan

Result: Live and operated by Astraed

Questions

The practical details, answered.

Security, ownership, cost, models, and the way your team works day to day.

Where does our data stay?+

In your deployment infrastructure: your private cloud, your servers, or a disconnected environment. Data reaches an external service only when your organization configures it.

How is this different from giving my team ChatGPT or Claude?+

ChatGPT and Claude provide general-purpose intelligence. Astraed adds approved models, custom tools, firm-wide direction, institutional knowledge, methodology agents, and ongoing operation in one governed system.

What about AI usage costs?+

Your firm pays AI providers directly for model usage. Astraed does not add a markup, so variable token costs remain transparent and separate from the annual managed-service fee.

Do I need a technical team?+

No. Installation, monitoring, backups, and updates are part of the service. If you have an IT team, we work within its policies; if not, one is not required.

What does “continuously improving” mean?+

We keep approved knowledge, workflows, integrations, security controls, and model choices current as your firm and the AI market change. Every material change remains governed by your firm.

Do you train public models on our data?+

No. Continuous improvement means managed updates to your private knowledge environment, not training public models on client material. Data reaches an external provider only when your organization configures it.

How do I answer clients' confidentiality agreements?+

Client material is processed on infrastructure you control, with per-project access and usage records. You can tell your client exactly where their data lives and who touched it—something a generic plan does not let you claim.

Are we locked into one AI model?+

No. The platform is model-agnostic: approved providers or open models running locally, in whatever combination your organization defines.

Who owns the knowledge base?+

You do. It lives on your infrastructure, built on open-source software. Your methodology does not get held hostage in anyone's platform.

More questionsModels, documents, sharing, integrations, and mobile access+
Can't I do this with custom GPTs or Claude projects?+

For one person, yes. At firm scale, knowledge is duplicated, instructions drift, quality varies, and someone must maintain every setup. Astraed gives the firm shared agents, standards, permissions, and continuous operation.

What happens when our methodology changes?+

We update the approved knowledge and capabilities as part of the service. A new consultant can work from day one with the firm's current proposals, methods, and judgment.

Which AI models can we use?+

Any, from any company: GPT, Claude, Gemini, or open models running on your infrastructure. Mix them by task and switch when the market changes without migrating your knowledge.

Does it work with our documents and meetings?+

Yes. Upload files or paste transcripts into the chat, and answers cite which document they came from. Cabrera & Co ran 12,757 files through this path.

Can I share work with colleagues and clients?+

Every conversation is shareable by link, and work is organized in folders by client or project. A winning proposal can be cloned and reused as a template.

Does it connect to our tools?+

Yes: Notion, databases, and whatever services your organization approves—connected during implementation, under your policies.

Can we use it from a phone?+

Yes. It runs in the browser, on desktop and mobile, with nothing to install.

One call. Your numbers. A clear yes or no.

We onboard one firm per month. The next slot is assigned on the call.

If a generic chatbot is all you need, we will tell you—it is cheaper.

Client workspace

Folders

Active client

Project work

Past proposals

Shared methods

Sourced result

Work from the firm's knowledge—not a blank chat.

Draft the next recommendation using our project material and methodology.

MethodologyProject filesPast proposal
Illustrative workspace inside the private knowledge environment