Anima Core
AN1 Pilot Program
This is a scoped technical evaluation for teams exploring inference efficiency. The goal is simple: test whether meaning-aware execution can reduce redundant computation on a constrained, measurable workload.
What we evaluate
- Task-specific inference paths (classification and decision tasks)
- Frozen or partially frozen teacher setups where appropriate
- Whether early representations contain stable task-relevant structure
- Measured deltas versus a clear baseline (latency, cost, memory, or steps)
What this is not
- Not a general LLM replacement
- Not a leaderboard claim
- Not a promise of universal speedups across every workload
- Not a production deployment commitment on day one
How the pilot works
- Intro call (20–30 minutes): confirm fit, scope the evaluation, and align on what success means.
- Technical walkthrough: architecture, assumptions, boundaries, and measurement plan.
- Focused demo: we demonstrate AN1 on a constrained workflow with clear baseline comparisons.
- Evaluation window: run the scoped test with agreed metrics and capture results.
- Readout: you get a concise report and a recommendation (continue, iterate, or stop).
What we ask from you
- A single task or workflow with a measurable baseline
- Constraints (latency, cost, memory, accuracy, or throughput)
- A point of contact who can interpret results technically
What you get
- A scoped evaluation with transparent metrics
- A focused demo delivered with proper context
- A clear recommendation based on measured outcomes
- Direct iteration loop if results justify deeper work
Demo access
Demo access is provided during the evaluation process. This keeps interpretation aligned with scope and prevents misreading a constrained test as a broad claim.
Request a pilot conversation
If you think this aligns with what your team is exploring, send a short note and we will respond with next steps.
If you prefer, reply directly to any outreach email from me and I will route it into the pilot queue.
See Technical FAQ for scope, limitations, and validation details.