AI changes every week, and betting wrong is expensive. We give your company certainty about the path: AI consulting, RAG, agents, LLM wiki and forward deployed engineers on your team, with the best cost-benefit tools and every token under control.
Six artificial intelligence services for companies, covering the full cycle: from strategic decision to the agent running in your systems. You move forward with evidence at every step, never hostage to hype.
Diagnosis of your processes and data, prioritization of the use cases with the highest return and a realistic roadmap. We help you select models and tools with the best cost-benefit and set up governance and security before the first deploy. For leaders who need to decide where and how to apply AI.
Your company's knowledge searchable in natural language: policies, manuals, contracts and history become a smart wiki with role-based access control and answers with cited sources. For companies with knowledge scattered across documents and people.
AI that answers based on your data, not on the model's memory. Retrieval architecture, chunking and answer quality evaluation, with verifiable citations and a drastic reduction in hallucinations. The foundation of any serious AI product.
Agents that run workflows end to end: they read, decide, call APIs and systems and complete the task. Built with guardrails, permissions and observability to operate in production, integrated with your ERP, CRM and internal tools. For operations with repetitive workflows that consume the team's hours.
AI specialist engineers embedded in your team and your context. They understand your systems, build inside your operation and transfer knowledge, from discovery to deploy. Specialist speed, no black box.
AI helped you take the first step: the prototype exists and it works. But turning it into a solid system, with security, scale and no dependence on a single tool or vendor, is still hard. That crossing is our specialty: quality evaluation, scalable architecture, RAG with real data and predictable costs, as we did with Kala AI.
A process designed to reduce risk: you validate early, scale safely and keep costs visible the whole time.
We map processes, data and systems, prioritize use cases by return and define tools and models with the best cost-benefit.
We build a pilot with real data and defined quality metrics. You decide to move forward with evidence, not a bet.
Scalable architecture, guardrails, security and integration with your systems. The pilot becomes a reliable platform.
Cost and token usage monitoring, continuous quality evaluation and product evolution alongside your team.
No AI behind the scenes; you decide where and how it comes in.
Every AI-generated output passes through a specialist before production.
We define together what can and cannot be exposed to an AI tool.
AI applied where it accelerates, without compromising quality or control.
The other half is judgment: thinking about the business, choosing the right level of care, and delivering something that lasts.
We don't just ship the spec. We think about your business like a CTO would: what moves the metric, what scales, and what's worth building.
What can't go down demands rigor, tests and extra care. An innovation bet demands speed to validate. We know the difference, and tune the process to each.
Code another person can read, maintain and evolve. Modern standards, human review and a foundation built to grow with you.
The market launches a new model every week, and it's easy to bet on the wrong thing: a project that shines in the demo and never reaches production, exposed data, an API bill that explodes. We test, measure and separate what drives results from what is hype, with the discipline of a team that keeps 57 systems in production.
Governance, data protection (GDPR/LGPD), access control and careful vendor selection. You adopt AI without exposing data or reputation.
Usage and cost dashboards per feature and per model from day one. Your AI bill never becomes a surprise.
We evaluate every model and tool that launches. You adopt early what pays off and skip what's just hype.
Specialists in the crossing from prototype to platform: evaluation, scale and reliability.
AI is one front. Behind it, Espresso covers your software's full cycle: from a targeted reinforcement to the squad that runs the whole product.
Fixes, monitoring and support with SLA to keep your critical system stable and running.
→Dependencies, frameworks and infrastructure updated without a rewrite, preserving what works.
→A technical X-ray of your software: security, architecture, technical debt and cost, with clear priorities.
→Vulnerability fixes and data protection compliance (GDPR/LGPD), with legal support end to end.
→From a targeted reinforcement to a full squad with a tech lead, at the speed your roadmap demands.
→Hosting, scalability and cloud cost reduction on Google Cloud infrastructure.
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Espresso team · São Paulo, Pinheiros
For 8 years Espresso has built software for those who can't get it wrong. Experienced people, direct communication, and your operation treated as if it were ours.
It assesses processes, data and systems to identify where artificial intelligence generates real returns. At Espresso Labs, it includes diagnosis, use case prioritization, selection of tools and models with the best cost-benefit, governance, security and a roadmap from pilot to production.
It is the architecture that connects an LLM to your company's data. Before answering, the system retrieves relevant excerpts from internal documents and databases and uses that context to generate the answer, with citable sources. The result: an AI that answers based on your reality and hallucinates far less.
A system that uses LLMs to execute tasks end to end: it plans, calls tools and systems (APIs, databases, email, ERPs), evaluates results and keeps going until the workflow is complete. We build agents with guardrails, permissions and observability to operate safely in production.
Yes. AI agents run repetitive workflows end to end: they read documents and emails, decide according to your rules, call your systems (ERP, CRM, spreadsheets) and complete the task. We start with the highest-volume, highest-return processes, with guardrails and human oversight where it matters.
Yes. We work with the main providers (OpenAI, Anthropic, Google and others) and choose the model based on use case, cost and security requirements, without locking you into a single vendor. We implement everything from corporate ChatGPT connected to your data to custom agents and integrations.
A corporate knowledge base powered by an LLM: company documents, policies and history become searchable in natural language, with role-based access control and answers with cited sources. An internal expert available 24/7 for your team.
An AI specialist engineer allocated directly in your context: they work embedded in your team, understand your systems and data and build inside your operation, from discovery to deploy. Specialist speed, with the knowledge staying in-house.
By instrumenting from day one: consumption dashboards per feature, user and model, caching, routing between models and the right model for each task. Every Espresso Labs AI project ships with cost and token usage monitoring.
Yes, as long as the architecture is designed for it: access control, anonymization when needed, careful provider selection, retention policies and compliance with regulations such as GDPR and LGPD. That is how we help companies navigate the AI era safely.
AI made the first step of the journey easier, but a solid system demands more: security, scalable architecture, answer quality evaluation, predictable costs and independence from tools and vendors. That crossing from prototype to platform is one of our specialties, as in the Kala AI case.
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