Invest & Partner
Bring Trajbl into production-scale RAG and agent workflows.
The immediate opportunity is practical: reduce LLM context cost and preserve answer quality in existing AI stacks. CurveMemory remains a separate research track.
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The opportunity
AI systems are paying to process more retrieved context than each answer needs.
Trajbl addresses the expensive step between retrieval and generation. It receives the retrieved context, keeps the strongest evidence sentences, and sends a smaller packet to the LLM.
The current controlled benchmark signal is strong enough for a serious pilot story, while the next step is broader validation and an infrastructure benchmark.
Ways to collaborate
Choose the path that matches your organization.
Equity investment
Fund production engineering, broader validation, commercial deployment, and market development.
Strategic partnership
Integrate Trajbl into an existing AI, RAG, agent, note, or knowledge-base platform.
Enterprise pilot
Benchmark Trajbl on a real private corpus and production-oriented workload.
Licensing
Explore embedded compression, private deployment, or a jointly delivered product offering.
Research collaboration
Validate compression quality, failure modes, and optional CurveMemory routing ideas.
Infrastructure partnership
Measure CPU, RAM, throughput, latency, and cost per 1,000 compressed queries.
Current priorities
What investment and partnership accelerate.
- 01Production Trajbl API and plug-in packaging
- 02Broader LongMemEval and real-corpus validation
- 03Infrastructure benchmark against LLMLingua2 on CPU-only hardware
- 04Failure audit tooling for wrong or over-compressed answers
- 05Optional CurveMemory research integration where routing adds value
Open to serious discussions
Invest, integrate, license, or validate.
Share your organization, use case, and preferred collaboration model through the secure contact form.
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