ERAGON / LEARNING
Work that gets better
Every run is tested, scored and fed back. Agents measurably improve in production, and what they learn becomes your company’s intelligence.
Explore learning

YOU FOUND THE GUARDIAN.
Explore the three marks.
01 /BEFORE PRODUCTION
Prove it on your history.
A built agent replays historical cases, learns from automated judges and your team’s feedback, and improves until it meets your target. Only then does it go live.
02 /THE LEARNING LOOP
Every correction
intelligenceTHE LEARNING STAYS.
Agents carry out the work in company context.
Your feedback sets the standard. Every run leaves the evidence.
RUN RECORD
01 Sources retrievedCRM · Support · Memory02 Tools usedRead · Compare · Route03 Output evaluatedAgainst your team’s criteria04 Learning retainedSkills · Memory · Evals03 /THE ACCUMULATION
The run is temporary.
What your agents learn becomes your company’s intelligence.
Skills and memory improve through work. Every change is tested, versioned and yours to keep.LEARNING, RETAINED
Every run starts
further ahead.
04 /RESEARCH / WITH EON
A smaller model.
Learning your company can matter more than buying a larger model. On our synthetic-company benchmark, a lower-cost model with an evolved skill scored above a cold frontier reference.
Luna with an evolved skill.
Cold Opus 5 reference: 28.
Execution traces become a readable skill. The model’s weights stay unchanged.
35 read-only questions across a synthetic enterprise built with Eon.
Evaluation scope. These are development-suite results, including questions used during optimization, compared with a historical cold-model reference. They are not a held-out evaluation.
YOUR COMPANY’S NEXT CHAPTER
Put your intelligence
to work.
A workforce of agents. A workspace of your own.
Book a demo
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