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
FIG. 009THE LEARNING OBSERVATORY
The learning observatory: a detailed sapphire architectural engraving of Eragon’s learning world
THE WORK FINISHES. THE LEARNING STAYS.

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.

FIG. 009APROVEN BEFORE PRODUCTION
HISTORICAL DATABUILT AGENTAUTOMATED JUDGESHUMAN FEEDBACKYOUR TARGETREPLAY · EVALUATE · IMPROVEPRODUCTIONHISTORICAL DATABUILT AGENTAUTOMATED JUDGESHUMAN FEEDBACKYOUR TARGETREPLAY · EVALUATE · IMPROVEPRODUCTION
Target met. Ready for production.

02 /THE LEARNING LOOP

Every correction

FIG. 009BTHE LEARNING LOOP
Company
intelligence
THE LEARNING STAYS.

Agents carry out the work in company context.

RUN → TRACE → EVALUATE → IMPROVE

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 · Evals

03 /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.
VersionedEvaluatedReversible

LEARNING, RETAINED

Every run starts
further ahead.

Feedback is evaluated and retained as skills and memory for the next runWORKFEEDBACKLEARNINGNEXT RUN →
SKILLS + MEMORYTHE LEARNING STAYS YOURS

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.

Read the research
FIG. 009CLEARNING FROM COMPANY CONTEXT
Cold modelWith evolved skill
Correct answers out of 35 before and after learning: GPT-5.6 Luna 7 to 29; Haiku 10 to 25; Sonnet 17 to 27; Gemini Flash 9 to 21; GLM Flash 4 to 16. Historical cold Opus 5 reference: 28.
THE RESULT29 / 35

Luna with an evolved skill.
Cold Opus 5 reference: 28.

THE METHODGEPA

Execution traces become a readable skill. The model’s weights stay unchanged.

THE ENVIRONMENTOne company.

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.

NEXT / 05SovereigntyOwnership, all the way down.

YOUR COMPANY’S NEXT CHAPTER

Put your intelligence
to work.

A workforce of agents. A workspace of your own.

Book a demo
ERAGON / THE SOVEREIGN AI WORKSPACEBUILT AROUND YOU.