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HASHXLABS
Service

Applied AI

Retrieval and tool-calling agents connected to the systems you already run. Reads are automatic, and a person approves anything that writes.

Discuss your project What you get
What you get

Deliverables

Retrieval and tool-calling agents wired into real systems, with a human approving anything that writes.

Retrieval pipeline

Hybrid vector and keyword search over your documents, chunked for your content.

Scoped agent

A tool-calling loop that can only reach the tools you allow.

Approval workflow

Write actions queue for a human before they reach your systems.

Evaluation harness

A test set and scores, so changes are measured, not guessed.

Deployment

Hosting, logging and monitoring for quality and cost.

Approach

How we work on this

Each step produces something you can read or run, so progress is never a matter of trust.

  1. 1

    Pick the job

    One workflow with a clear before and after. No platform first.

  2. 2

    Eval set

    Real questions and expected answers, written before building.

  3. 3

    Build

    Retrieval, tools and the approval path.

  4. 4

    Measure

    Run the evals, fix the worst failures, repeat.

  5. 5

    Ship

    Deploy with logs and a way to flag bad answers.

Risk focus

What we test hardest

  • Actions the model was not meant to take
  • Prompt injection through documents
  • Data leaking across users
  • Quality drifting silently
Technology

Tools we use

PythonFastAPIpgvectorLangChainTypeScript

Related work

Related capabilities

More in AI

Full catalogue
Trading & execution agentsAgents with policy guardrailsOn-chain analyticsAsk questions of chain dataAI-assisted complianceTransaction monitoring and triageAI for exchangesSurveillance, support and riskAI agents & automationTool-calling agents on real systemsRetrieval (RAG) systemsAnswers from your documents
FAQ

Common questions

The one that passes your evals at the right cost. We keep the code model-agnostic.

We design around your constraints, including self-hosted retrieval and providers with no training on your data.

Sometimes: agents that read on-chain data or prepare transactions for a human to sign. Often it is plain business automation.

Have a project in mind?

Tell us what you are building and what must not go wrong. An engineer who would work on it will reply.

Start a project info@hashxlabs.com