Days to seconds
Questions that sit in analyst queues for days get answered in seconds. Decision intelligence agents query your data, reason through context, and return clear answers on demand.
Westland Labs builds production AI systems that take over the workflows, decisions, and processes slowing your team down. Engineered for production from day one.
Every day your team spends on manual workflows is a day your competitor's AI handles it in seconds.
There are tasks in your organization that run on human attention not because they require human judgment, but because no one has built the alternative yet. AI agents plan sequences of steps, call tools, retrieve context, make decisions, and complete work without someone prompting them at every turn.
When that's built properly, workflows that consumed analyst time run unattended. Decisions that needed a queue happen in seconds. We've been building these systems inside organizations where failure has a real cost and downtime isn't an option.
Questions that sit in analyst queues for days get answered in seconds. Decision intelligence agents query your data, reason through context, and return clear answers on demand.
Agents can handle routine processing continuously while defined cases and consequential decisions go to people.
Evaluation, monitoring, and clear operating limits help teams detect change and intervene before quality slips.
Each engagement starts with a baseline and defines the evidence needed to judge whether the system improves the workflow.
Agent teams that coordinate, delegate, and execute complex workflows with adaptive reasoning, tool orchestration, and human-in-the-loop controls where they matter.
Grounded retrieval systems with MCP integrations that give agents access to the right context, from internal documents to live data sources.
Evaluation frameworks, inference cost management, observability, and graceful failure handling. The engineering that closes the prototype-to-production gap.
Architecture review, agent behavior analysis, failure mode testing, and governance alignment. A clear assessment of what's working and what needs fixing.
Westland Labs is led by Manuel Valentim Loureiro, who holds a PhD from Carnegie Mellon University and has published research in AI and natural-language processing.
The work starts where a convincing prototype meets real data, edge cases, users, cost, and operational accountability. Evaluation, observability, and failure handling belong in the system from the beginning.
Clients work directly with the person designing the system.
Agents that answer operational questions by querying data sources, reasoning through context, and returning clear explanations. In seconds, not days.
Extraction, classification, and summarization across high-volume content streams, with review gates suited to the workflow.
Staff ask questions in plain language and get source-cited answers from internal documentation. Cuts onboarding time and frees senior staff.
Whether you have a defined project or a problem worth solving, let's move.