amawta
Work

Work, technology, and applied cases

We show experimental products, internal benchmarks, demos, and applied projects without making them the center of the identity.

Amawta can build software and technical tools, but the main offer is the team as an expert applied generative AI R&D unit.

Concrete evidence
01

Eigen Suite

Experimental proprietary technology suite: EigenDB for vector compression, EigenKV for KV-cache optimization, and EigenWeights for inference efficiency.

  • EigenDB: embedding compression
  • EigenKV: KV-cache reduction
  • EigenWeights: weight optimization
  • Internal benchmarks
02

LLM evaluation workflow

Internal methodology for testing outputs, failure modes, traceability, human approval, and no-scale conditions.

  • Test batteries
  • Decision records
  • Failure cases
  • Acceptance criteria
03

Anonymizable applied cases

Work that can be documented without exposing clients, sensitive data, or private operational details.

  • AI diagnostics
  • Governance
  • LLM red team
  • Measurable prototypes
Healthy separation

Not everything is product

Products show technical capability, but they do not define the commercial offer by themselves.

Not everything is service work

Applied work grounds research in systems, tests, and real decisions.

Judgment is the difference

The value is knowing what to build, what to measure, and when not to scale.

Want to see how this translates into a real case?

We can review a specific process and decide whether it needs diagnostics, prototype, red team, or implementation.