Data · Automation · Intelligence · Results
We build AI agents that converse with your data, operate your internal tools, and deliver real results for your business. With governance, observability, and cost under control.
25+ years of engineering. Currently building and operating zeobra.com.br.
What we deliver
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.
Before the agent, the pipe. Scattered SaaS data into a modeled, governed, queryable warehouse.
Airbyte, Fivetran, or custom connectors. SaaS (HubSpot, Stripe, Pipefy), legacy databases, spreadsheets, and files - all flowing into one central warehouse.
BigQuery, Snowflake, or Postgres with dbt models versioned, tested, and documented. A single source of truth your entire team can rely on.
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.
Sitting on top of the foundation. Conversational, multimodal, with guardrails and observability.
Agents that translate natural language into SQL, APIs, and dashboards. On-demand analysis, no rigid BI or forms in the way.
Agents that operate your CRM, ERP, and internal tools, with human approval where it matters. Cut repetitive tickets, free your team.
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
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.
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.
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.
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
If you see yourself in one of these, it's worth a call.
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.
You have an engineering team but no AI lead. You need an agent in production fast, with senior judgment behind it.
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.
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
See how we apply the data foundation + agents combo in each vertical.
E-commerce, marketplaces, physical stores. Sales data unified and agents that answer in seconds.
See detailsPaid media, creative, dashboards. Agents that scan accounts, generate reports, and surface what's burning budget.
See detailsReconciliation, fraud, support. Auditable agents with governance and predictable cost.
See detailsIn production
Cases that came out of this house, live today.
Conversational agent for construction-site management, inside WhatsApp.
Architects and owners send a photo of the invoice, audio about what was paid, a photo of the site. The agent files payments, contracts, daily logs, and documents. Multimodal, conversational, live.
Newer builds, real customers, agents on the roadmap.
Settlement automation for real-estate commissions.
Tracks incoming payments, splits commissions across parties, reconciles against contracts. In validation with the first customer.
Visit repasse.coOperations SaaS for boilermaking and steel fabrication shops.
Quoting, production planning, materials, and customer comms for caldeiraria businesses. Just launched. AI agents on the near-term roadmap.
Visit manufa.com.brHow we work
No open hours, no open scope, no permanent dependency. Each stage has a defined deliverable.
We map where AI actually delivers value in your case. Output: architecture, execution plan, and estimate for the pilot.
One agent in small production with real metrics. Informed decision to scale or pivot.
Full system with evals, observability, cost control, and documented handoff to your team.
Senior AI technical leadership on retainer. Stack decisions, code review, hiring, and roadmap.
Pricing and availability on request. Engagements in BRL or USD.
See details for each phaseAbout
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.
Frequently asked
Let's talk
Tell us your challenge. A 30-minute call is usually enough to know whether it makes sense, and how it would work.
Pick a time that works for you. We'll confirm by email.
Location
Brazil. Global engagements.