Capabilities / AI & automation

AI that does real work inside your product.

We build AI into web, mobile, and blockchain products — assistants, automated workflows, and data pipelines that are secure, measurable, and ready for production.

SYS // L1-INTELLIGENCEGROUNDED RAG & AGENTIC WORKFLOW ENGINEGUARDRAILS: ACTIVE01 / INGESTIONEnterprise DocsPDF · SQL · KnowledgeEvent StreamsAPIs · WebhooksOn-Chain StateTx Logs · Wallets02 / RETRIEVALPGVECTOR / HNSWTOP-K RERANKCITATIONS: LOCKED03 / INFERENCE & EVALMODEL ROUTEROpenAI · Anthropic · Open WeightsEVALUATION & GUARDRAILSSchema Check · Access Control · EvalPRODUCTION OUTPUTGrounded Answer + Human-in-the-LoopSTACK: PYTHON · FASTAPI · PGVECTOR · NODE.JS · STRUCTURED OUTPUTSEVAL: VERIFIED

00 /Who this is built for

  • Product teams adding AI features to an existing platform.
  • Operations teams buried in repetitive document and data work.
  • Web3 projects that need to analyse and monitor on-chain activity.
  • Leaders who want a clear view of where AI fits — and where it doesn’t.

01 /What we deliver

  1. 01

    AI strategy & prototypes

    Find the use cases worth building, then prove them with a working prototype before full investment.

  2. 02

    Assistants grounded in your data

    LLM assistants and search that answer from your documents and systems, with sources.

  3. 03

    Workflow automation

    Automate repetitive steps across tools, documents, and approvals with humans kept in the loop.

  4. 04

    Data pipelines & analytics

    Collect, clean, and structure data so models and dashboards can use it reliably.

  5. 05

    AI for Web3

    Classify transactions, monitor contracts and wallets, and surface anomalies from on-chain data.

  6. 06

    Evaluation & guardrails

    Quality, cost, and safety testing, access control, and privacy built in before launch.

02 /Models & tools

OpenAI · Anthropic · open models
Language models chosen per task, cost, and privacy needs
Python · FastAPI
Model services, pipelines, and APIs
Vector search · PostgreSQL
Retrieval over your documents and data
Node.js · React
AI features inside your web and mobile products
Docker · Kubernetes · AWS
Secure, scalable deployment

03 /Execution protocol

  1. 01

    Discover & Scope

    We map your operational constraints, user workflows, and regulatory or technical boundaries before writing a line of production code. Deliverable: system requirements, risk register, and a prioritized delivery roadmap.

  2. 02

    Architect the Joins

    We design the on-chain contracts, off-chain APIs, data schemas, and AI retrieval boundaries as one connected blueprint. Deliverable: architecture specification, stack selection, and milestone contracts.

  3. 03

    Iterative Engineering

    Designers and engineers build in short, inspectable cycles with continuous integration — shipping working software to staging every sprint. Deliverable: working builds, reviewed pull requests, and live staging environments.

  4. 04

    Verify & Harden

    We run automated test suites, smart-contract and API security checks, AI evaluation guardrails, and stakeholder proof-of-concept reviews. Deliverable: audit & test reports, load benchmarks, and a verified release candidate.

  5. 05

    Deploy & Evolve

    We execute zero-downtime deployment, data migration, and documentation handover — then stay on for telemetry monitoring and upgrades. Deliverable: production launch, runbooks, team handover, and ongoing engineering support.