Generative AI Gives Spacecraft the Autonomy Engineers Once Feared
Space was always supposed to be the final frontier of human exploration. It’s shaping up to be the final frontier for artificial intelligence too.
Data, Security & Governance
Your data isn’t ready. Start anyway.
Nobody’s data is ready. The companies winning with AI didn’t fix everything first. hey fixed what the first use case required, and built the foundation as they went.
The reframe
The two-year data
project is how AI
initiatives die
In practice it means eighteen months of infrastructure spend, no business outcome, a lost executive sponsor, and a cancelled program.
We invert it. Your FDE identifies the highest-value use case, determines exactly what data it needs, and makes that data trustworthy. You get a working accelerator, and you get a piece of real foundation. Then the next one is faster.
Foundation gets built by delivering, not before delivering.
data
Fix the data the AI needs.
You don’t need to fix every piece of data in your business.
You need the right data to be trustworthy, accessible and
usable for the AI you’re building
01
What we assess
Where your data lives, what condition it’s in, what it would take to make it usable for the specific things you want to do.
02
What we build
The pipelines, access controls, and structure required for AI to perform reliably against your systems.
03
What you keep
Infrastructure you own and your team can operate, documented and handed over.
01
What we assess
Where your data lives, what condition it’s in, what it would take to make it usable for the specific things you want to do.
02
What we build
The pipelines, access controls, and structure required for AI to perform reliably against your systems.
03
What you keep
Infrastructure you own and your team can operate, documented and handed over.
Security & Governance
AI Governance: how you scale without creating risk.
The moment AI touches customer data, financial records, or regulated processes, the questions change. Who can use it. On what data. Who reviews the output. What happens when it’s wrong. What you can prove to an auditor, a regulator, or a customer.
What we establish
01
Access and permissions
Who can use which systems against which data.
02
Human oversight
Defined control points where a person reviews before action is taken.
03
Auditability
A record of what the system did and why, that holds up under examination.
04
Data protection
Your proprietary information stays yours and doesn’t train anyone else’s model.
05
Access and permissions
Clear rules your people can actually follow.
06
Monitoring
Ongoing measurement of whether the system is still behaving as intended.
We hold ourselves to it
alliant handles sensitive client financial data every day, under professional standards.
The governance framework we build for you is the one we run internally.
FAQ
Before you spend two years “getting ready”
Does our data need to be ready for AI?
No. Nobody’s data is ready. Start with the AI opportunity worth pursuing, fix the data it actually needs and build from there. Perfect data is not the prerequisite. Usable data is.
How do we know if our business is ready for AI?
Don’t grade yourself on an AI maturity curve. Find a problem worth solving. We look at the opportunity, the data behind it, the systems it touches and whether your team can actually put the solution to work.
How do you keep company data secure when using AI?
By deciding what AI can access before it ever gets access. Permissions, data protection, human oversight, auditability and monitoring are built into the solution, not bolted on after something goes wrong.
How much AI governance do we actually need?
Enough to move fast without being reckless. The right controls depend on what the AI is doing, what data it touches and what happens if it’s wrong. A tool summarizing internal documents shouldn’t be governed like one touching financial or customer data.
Proven Results
Don’t wait for perfect data to start.
Start with an AI Opportunity Assessment to identify where AI could create the most value in your business
and which opportunities are worth pursuing first.
News & Insights
Labor Unions, AI Infrastructure, and the Backlash to the Backlash
What organized labor’s response reveals about project economics, AI infrastructure investment, and the next phase of the data center buildout
For Physical AI, the System Has Become the Strategy
Success is not determined by model intelligence but integration support
Making AI Work Where the Work Happens
Forward Deployed Engineering is built around a simple idea: AI creates value only when it changes how work actually gets done.