AI strategy, engineering and governance
AI that works in production, not just in the pilot.
Crider Technologies helps growing companies plan, implement, monitor and improve their use of AI, with engineering depth in AWS GovCloud and compliance controls built into the inference path.
The lifecycle
Four stages, one continuous cycle.
01Plan02Implement03Monitor04ImproveEach cycle feeds the next01
Plan
Find the use cases worth doing, set the guardrails and choose the architecture before money is spent.
02
Implement
Build and integrate AI into the systems you already run, securely and on schedule.
03
Monitor
Track cost, quality, safety and compliance so problems surface in a dashboard, not in an incident.
04
Improve
Tune what works, retire what does not, and train your teams to take on the next use case.
Why growing companies call us
Pilots stall. Tools multiply. Bills surprise.
Pilots that never reach production, tools bought team by team, model bills no one can explain, and security reviews with no good answer. We turn those into a plan, a working system and a way to keep it honest.
Built for regulated environments
Compliance that runs at inference time.
Experience building in AWS GovCloud, and a policy API behind Claude inference hooks that approves or rejects prompts against your company policies, not after the fact.
How an engagement starts
A two-week AI readiness audit.
It ends with a ranked list of use cases, a risk and governance gap report, and a 30, 60 and 90 day roadmap.
Tell us where AI is stuck.
We will tell you what it would take to get it moving.