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zechim

Applied AI · Since 2001

Applied AI, engineered for production.

Twenty-five years of software engineering, now applied to AI agents, LLMs, and the data pipelines that hold them up.

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Brazilian senior consultancy. Global engagements, remote-first.

What we deliver

From raw data to live agent. No gaps in between.

We build the data foundation and the agents that run on top. Same engineers, one head. Most AI projects fail because of data, not models.

Data foundation

Before the agent, the pipe. Scattered SaaS data into a modeled, governed, queryable warehouse.

  • Data ingestion

    Airbyte, Fivetran, or custom connectors. SaaS (HubSpot, Stripe, Pipefy), legacy databases, spreadsheets, and files - all flowing into one central warehouse.

  • Warehouse + dbt

    BigQuery, Snowflake, or Postgres with dbt models versioned, tested, and documented. A single source of truth your entire team can rely on.

  • Platform & infrastructure

    Terraform, CI/CD, observability, and cost under control. On-prem or in-VPC deploys for LGPD/GDPR-sensitive cases. Brazilian stack (Totvs, Omie, Bling) integrated when needed.

AI agents

Sitting on top of the foundation. Conversational, multimodal, with guardrails and observability.

  • Talk to your data

    Agents that translate natural language into SQL, APIs, and dashboards. On-demand analysis, no rigid BI or forms in the way.

  • Internal copilots

    Agents that operate your CRM, ERP, and internal tools, with human approval where it matters. Cut repetitive tickets, free your team.

  • Agent architecture & evals

    Multi-agent systems with RAG, memory, tools, and guardrails. Eval pipelines, red-teaming, observability. The gap between a flashy demo and a system that holds up in production.

How we build

From raw data to a live agent.

The Acme Store demo you saw isn't synthetic magic. It's the output of a real pipeline we apply for every client. Same method, different data.

  1. Ingest

    Connectors pull data from SaaS tools, legacy databases, and files. Airbyte for what exists, custom code for what doesn't. Everything lands in one warehouse.

  2. Model

    dbt models clean, transform, and document. Versioned in git, tested in CI. What the agent can query is exactly what your BI tool can query.

  3. Agent

    Claude or GPT reading the warehouse via MCP, with SQL guardrails and automated evals. You ask in plain English; it answers with the right numbers. (Like the demo above.)

Same engineering that ran Airbyte / dbt / BigQuery at senior teams - now with the agent layer on top.

Who we work with

Teams that win with agents that actually ship.

If you see yourself in one of these, it's worth a call.

  • Mid-market with scattered data

    Industry, agribusiness, retail, logistics, construction. CRM in one tool, ERP in another, spreadsheet here, legacy database there. We unify, model, and put AI on top.

  • Brazilian scale-ups

    You have an engineering team but no AI lead. You need an agent in production fast, with senior judgment behind it.

  • International startups

    You're in the US or EU with no AI lead. You want real seniority, not hype, and a team that ships quickly in a compatible time zone.

  • Expansion into Brazil and LATAM

    You're a global company entering Brazil. You need someone fluent in the local stack (Pix, WhatsApp, LGPD, Totvs) with international engineering quality.

By industry

Dedicated pages for your sector

See how we apply the data foundation + agents combo in each vertical.

Also building

Consultancy first, products on the side.

The bulk of what Zechim does is client work. Alongside it, one product built on the same engineering approach we bring to engagements.

How we work

Engagements with clear scope and measurable outputs.

No open hours, no open scope, no permanent dependency. Each stage has a defined deliverable.

  1. 012 weeks

    Discovery

    We map where AI actually delivers value in your case. Output: architecture, execution plan, and scope for the pilot.

    • Diagnosis
    • Architecture
    • Plan
  2. 024 to 8 weeks

    Pilot

    One agent in small production with real metrics. Informed decision to scale or pivot.

    • Working POC
    • Real metrics
    • No lock-in
  3. 033 to 6 months

    Production

    Full system with evals, observability, cost control, and documented handoff to your team.

    • SLA
    • Observability
    • Handoff
  4. 04Ongoing

    Fractional AI Lead

    Senior AI technical leadership on demand. Stack decisions, code review, hiring, and roadmap.

    • Recurring
    • Hands-on
    • Seniority

Availability on request. Remote-first, global.

See details for each phase

About

Senior engineering applied to real AI

Zechim Technologies is an engineering consultancy focused on applied AI and autonomous agents. We started from the conviction that production AI demands software rigor, not improvisation.

25+ years building mission-critical software: high-load backends, distributed systems, complex integrations. Today, that same rigor applied to LLMs, RAG, evals, and agents.

We work with clients in Brazil and abroad, on projects ranging from rapid proof-of-concepts to agent platforms operating at scale.

Years of engineering
25+
Systems in production
100+
Current focus
AI & Agents

Frequently asked

What you probably want to know before booking.

  • How fast can you start?

    A Discovery sprint runs 2 weeks and ends with architecture + execution plan. A pilot in real production lands in 4 to 8 weeks. Full systems in 3 to 6 months. We discuss timelines case by case before committing.

  • How do engagements work?

    Discovery is a fixed 2-week scope. Pilot and Production are scoped to a specific outcome you sign off on. Fractional AI Lead is ongoing thinking-partner work with a 3-month minimum. No open-ended hours, no permanent dependency. Details on the call.

  • Does my data leave my infrastructure?

    Not unless you want it to. On-prem deployments, dedicated instances in your VPC, or sovereign models running in Brazil are all on the table. LGPD / GDPR aware by default.

  • What stack do you work with?

    Whatever your case actually needs. We're stack-agnostic: any leading LLM, any vector store, any orchestration layer, any frontend, any database. If you already have infrastructure, we integrate. If you're starting from zero, we help you decide. The right stack is the one that fits your case, not the one we prefer.

  • And shipping to production?

    Depends on your infrastructure. We work with your existing cloud, CI/CD, and observability. If you don't have those set up, we help build them. The agent you see at /demo is a worked example of a full stack from scratch, ready to reuse or adapt.

  • What happens after delivery?

    Your call: full handoff (documented and we walk away), ongoing support (SLA + on-call), or Fractional AI Lead continuing as a senior thinking partner. No lock-in.

Let's talk

Ready to put agents into production?

Tell us your challenge. A 30-minute call is usually enough to know whether it makes sense, and how it would work.

Book a 30-minute call

Pick a time that works for you. We'll confirm by email.