We build custom AI agents that actually deliver value
From strategy to production deployment: we design, build and operate AI agents for the enterprise — with evidence-first governance, human oversight and free choice of stack (Microsoft Azure, AWS, Google Cloud or open-source).
Platforms we deliver on
We are not just developers. We are a factory.
We run our own portfolio of production agents — we don't resell third-party tools. Every project carries the same editorial discipline, governance and safety engineering that we apply to our own.
Production line, not bricolage
Repeatable methodology: editorial design → knowledge curation → stack selection → safety engineering → deploy → operation. The same playbook we use on our own live agents.
Evidence-first governance
Every recommendation carries an evidence level (explicit/strong, explicit/moderate, inferred). Qualified engineers validate outputs. AI augments human judgement — never replaces it.
Stack-agnostic by design
Microsoft, AWS, Google or open-source: we choose the stack after understanding where your data lives, who owns identity and what your compliance must approve.
Security and privacy by design
Prompt injection defences, refusal patterns for sensitive areas (medical, legal, financial), PII handling, grounded-only responses and human-in-the-loop on critical actions.
Bilingual and multicultural
We operate in PT, EN and ES. Language auto-detection, consistent persona across languages and cultural adaptation — not literal translation. From corporate Brazil to the indigenous Amazon.
Measurable results
−88% time in GISTM gap identification (180h → 22h per facility). 80+ observations in auditable water balances. Active agents with clients in mining, water and territory.
Let the RIDE Agent guide your solution
RIDE is our consulting agent, based on the Research · Identify · Develop · Evaluate framework. It runs a structured discovery interview and generates an executive work plan with scope, stack recommendations and next steps. Multilingual. No login.
Before the proposal, let's think together
In 5 to 10 minutes the RIDE Agent translates your challenge into a plan your leadership can read.
From idea to production in 6 steps
The same playbook used to build GISTM.ai, TSM.ai, TCM AI Assessor, RIDE Agent, AquaTwin, Muiraquitãna and Data Riders Agent.
Editorial design
Voice document, scope, out-of-scope patterns, ritual and refusal rules. In plain language, with the accountable person in the room.
Knowledge curation
Curated (not scraped) knowledge base. Primary sources, versioning, provenance and a curatorial inbox for updates. RAG over trustworthy documents.
Stack selection
Stack choice comes after the editorial work: where your data lives, who owns identity, what compliance must approve.
Safety engineering
Refusal patterns, prompt injection defences, PII handling, grounded-only responses, human-in-the-loop on sensitive actions.
Deploy & integration
Onboarded into your infrastructure, under your identity and governance perimeter. SSO, RBAC, observability, usage telemetry.
Continuous operation
Curatorial loops, weekly output reviews, prompt and rubric tuning, editorial SLAs. A live agent is maintained — not abandoned.
Real cases of live agents
We don't sell slides. We already operate seven production agents, each one co-designed with the end client or institutional partner.
RIDE Agent
Structured consultingConsulting agent built on the Research · Identify · Develop · Evaluate framework. Cuts GISTM gap-identification time by 88%.
AquaTwin Agent
Water digital twinMonthly mining water balance with visual modeling, multi-format intake, Kalman fusion and auditable Excel export.
TSM.ai
TSM/PAEBM auditAI-assisted audit for TSM, PAEBM and GISTM protocols. Evidence collection, gap analysis and readiness assessment.
GISTM.ai
Tailings complianceAI platform for continuous compliance with the 77 GISTM requirements. Operational backbone for multi-site mining groups.
TCM AI Assessor
Copper Mark pre-auditAI pre-audit for The Copper Mark certification. Evaluates the 33 RRA criteria from your documents with verdicts, evidence, gaps and recommendations. Independent, demo-mode.
Muiraquitãna
Territorial agentTerritorial AI agent for the Lower Tapajós region, partnership with MuCA. First production agent co-designed with an Amazonian cultural institution.
Data Riders Agent
Site assistantBilingual conversational widget on every datariders.com.br page. Citation-first replies and conversational lead capture.
Use cases for enterprise AI agents
Audit & compliance
Evidence mapping against regulatory standards (GISTM, TSM, ANM, ESG). Automated gap analysis with traceable citations.
Document intelligence
Structured extraction from PDFs, spreadsheets and presentations. Turns files into auditable evidence with provenance.
Internal technical support
Enterprise copilot over your knowledge base, manuals and procedures. Grounded answers with links to the source.
Operations & analytics
Agents that combine operational data (SCADA, time series, ERP) with LLMs for diagnostics and prioritisation.
Risk & emergency
Continuous monitoring of critical KPIs, structured escalation, executable runbooks under human supervision.
Institutional engagement
Territorial, community and heritage agents — co-designed with cultural institutions and local partners.
Frequently asked questions
What is an AI agent factory?
An engineering operation that designs, builds, tests and operates custom AI agents. We combine editorial design, knowledge curation, stack selection, safety engineering and human oversight to deliver agents that actually work in production — not prototypes that stay in a demo.
How long does it take to build an AI agent?
A productive pilot is typically ready in 4 to 8 weeks, depending on knowledge base complexity, integrations and the level of governance required. Before that, we run a RIDE discovery of about 5 to 10 days to align scope and a work plan. After the pilot, there are continuous cycles of operation and refinement.
What technologies do you build on?
We are stack-agnostic. We build on Microsoft Azure AI Foundry and Copilot Studio, AWS Bedrock and Agents, Google Vertex AI and Gemini, and on open-source stacks with Llama, Mistral and Qwen for private or regulated deployments. Frameworks: LangChain, LlamaIndex, MCP. Vector DBs: Pinecone, Weaviate, pgvector. Stack choice comes after the editorial work.
Do you have real production agents?
Yes. We run seven live agents: GISTM.ai (tailings compliance), TSM.ai (TSM and PAEBM protocols audit), TCM AI Assessor (Copper Mark pre-audit), RIDE Agent (structured consulting), AquaTwin Agent (water balance), Muiraquitãna (Amazonian territorial agent) and Data Riders Agent (site assistant). Each one was co-designed with the end client or institutional partner and is in use.
What about governance, security and privacy?
Every recommendation carries an evidence level (explicit/strong, explicit/moderate, inferred). Qualified engineers validate outputs. We implement refusal patterns, prompt injection defences, PII handling, grounded-only responses and human-in-the-loop on sensitive actions. We adopt your identity perimeter (Entra, IAM, Vertex IAM) and your compliance officer joins the loop. See our security and privacy page.
How do I get started?
Three paths: (1) talk to the RIDE Agent now — in 5 to 10 minutes you walk away with an executive plan; (2) fill the form on this page and our team responds within 1 business day; (3) write directly to [email protected].
Got a problem waiting for an AI agent?
Tell us about the challenge. Our team responds within 1 business day with concrete next steps — a free RIDE discovery, pilot scope and preliminary estimate.
- Free RIDE discovery (5 to 10 min)
- Pilot scope within 1 week
- Stack chosen with your IT and compliance team
- No tool reselling — in-house engineering
Belo Horizonte, MG — serving Brazil & global clients