AI‑native software, delivered end‑to‑end

Ship smarter with LLM integrations & autonomous agents

We help teams design, build, and operate AI features—from concept to production. RAG, evals, guardrails, and human‑in‑the‑loop baked in.

OpenAI Anthropic Azure AI AWS Bedrock LangChain LlamaIndex pgvector Pinecone
Use case Agentic onboarding assistant
Latency (p95) 650ms
Guardrail violations < 0.5%
Human‑in‑the‑loop Enabled
Observability • Evals • Rollbacks Prod‑ready

What we do

LLM Integrations

Chat, search, and generative features embedded into your product with evaluation harnesses and analytics from day one.

  • Prompt design & tooling
  • Model routing & cost controls
  • Safety & compliance

Agents & Workflows

Deterministic tool‑using agents that orchestrate APIs, data, and humans with reliable handoffs.

  • Function/tool calling
  • State machines & retries
  • Human‑in‑the‑loop

RAG & Knowledge

From ingestion to retrieval: quality‑first pipelines, hybrid search, and guardrails that scale.

  • Chunking & embeddings
  • Hybrid/vector search
  • Hallucination defenses

Evaluations & Guardrails

Quantitative evals tied to business metrics, automated regression tests, and policy enforcement.

  • Golden sets & test suites
  • Safety filters
  • Offline & online evals

Full‑stack Delivery

Production software in Node.js, Laravel, and modern frontends. Robust infra, CI/CD, and observability.

  • APIs & microservices
  • Web apps & dashboards
  • Cloud & deployments

MLOps & Observability

Telemetry, tracing, and feedback loops to move fast without breaking trust.

  • Tracing & cost tracking
  • A/B & canary rollouts
  • Privacy by design

Results

Numbers only. No quotes. Just outcomes.

0 Client satisfaction (CSAT)
0 LLM features delivered
0 Median weeks to MVP
0 Uptime across managed projects

Selected work

Themes from recent builds

Fintech support triage

Agent routes tickets, summarizes context, and drafts safe replies. Reduced first‑response time by double digits with guardrails.

  • Agents
  • Tool calling
  • Azure OpenAI

Policy‑aware onboarding

Onboards users with verifications and policy checks. Human‑in‑the‑loop for exceptions, with full audit trails.

  • RAG
  • Evals
  • Guardrails

Data extraction pipeline

Structured extraction from semi‑structured docs with reliability checks and backoffs. Streams metrics to dashboards.

  • RAG
  • Vector search
  • Tracing

Agentic analytics

Natural‑language queries over product data with semantic caching and fallbacks to deterministic SQL.

  • Semantic search
  • SQL
  • Caching

How we work

Fast, measurable, safe

  1. 01

    Discovery

    Clarify goals, constraints, and data. Define success metrics and risks.

  2. 02

    Design

    Select models, retrieval, and architecture. Plan evals and guardrails.

  3. 03

    Build

    Ship features in tight loops with observability and test coverage.

  4. 04

    Operate

    Monitor cost, drift, and quality. Iterate with evidence.

Our stack

Pragmatic, proven tools

Node.js TypeScript Python Laravel React Next.js Vue Vite PostgreSQL Redis pgvector Pinecone Qdrant OpenAI Anthropic Azure AI AWS Bedrock LangChain LlamaIndex Docker Kubernetes

Let’s build something useful

Tell us about your goals. We’ll map a path to impact, then deliver fast—without compromising safety.

Email us
Response time < 24h
Timezone Europe‑based • Global
Engagements Projects • Retainers