human sets Define the mandate
agent replies Structure the deal into a clear opportunity profile.
We partner with private capital teams to turn their context into production AI
talk to founder --system "private capital" run case studies --view › replay --human-sets-step --agent-responds --speed fast
human sets Define the mandate
agent replies Structure the deal into a clear opportunity profile.
› running step 01/13 --human_decision=pending
A governed search architecture for high-trust deal-investor matching systems: intent contracts, CRM normalization, guardrails, evidence-led ranking, and replayable evaluation.
A founder-led build that helped a private capital advisory team move from fragmented CRM context and tacit deal knowledge to a production AI workflow for investor search, review, and handoff.
Read case studyA portfolio monitoring workflow designed to help investment teams prioritize what deserves a closer look after quarterly calls.
Read case studyA research workflow that brought audio, transcript, and signal review into one interface so teams could spot risk and opportunity faster.
Read case study“Servando is unusually strong at operating in ambiguity. He can take raw, unfiltered business context, understand the underlying need, and move into execution fast without needing a lot of process, templates, or back-and-forth clarification. What makes him especially valuable is that he combines high agency, real business understanding, and strong AI engineering capability. He quickly grasped the complexity of MVV's business and delivered not only software that addressed it, but also a true 1:1 partnership and technical guidance across every stage of development.”
Misha Vasilchikov Managing Partner • MVV Capital Partners
“Servando has a great knack for data science and for building ML systems that stand up in real-world environments. We worked on recommendation systems together.”
Ed Mattia Head of AI • Outerbounds (acq. by Anaconda)
“Servando helped our team at Orange transform complex datasets into actionable business insights that directly informed our strategic decisions and enhanced operational efficiency. His proactive approach to identifying improvement areas and implementing AI solutions consistently delivered measurable value to stakeholders.”
Pedro San Inocencio Director • Orange
“Servando developed from scratch a AI-matching solution that formed the core of our data processing capabilities, demonstrating strong technical skills and a structured approach that directly contributed to project success. The solutions lead to 70%+ reduction in duplicates and +1 FTE worth of manual effort eliminated.”
Kamil Kapturkiewicz Founder • Databris
“Servando helped improved our lending algorithms and helped us find high impact issues in our fraud system. His contributions delivered high-impact results that made a real difference to our business outcomes.”
Francisco Llaneza Principal Data Scientist • Fintonic
My approach is built on high agency, deep ownership, and a bias toward tangible outcomes. Responsibility means staying with the work until there is a real result: something shipped, improved, clarified, automated, or made useful. I do not believe in vague promises or work that sounds impressive but never becomes value someone can actually feel.
The business comes first. Tools are secondary. What matters is understanding the business context deeply enough to operate almost like an extension of the team: absorbing the domain knowledge, translating it into systems, and sharing progress repeatedly.
The best companies are becoming living knowledge bases. Every conversation, transcript, Slack message, decision, and customer interaction becomes part of the shared context that can help the product improve. My job is to capture that context and turn it into useful artifacts, workflows, and products that compound over time.
The goal matters more than the plan. Building has become faster, more fluid, and more dynamic, so alignment is everything. Once the destination is clear, the path can adapt quickly.
The strongest partnerships are long-term ones where both sides are genuinely on the same side: thinking clearly, moving fast, and building something that keeps getting better.
Servando Torres, Founder
The systems are designed so teams can still see the reasoning, supporting material, and tradeoffs behind an output before they act on it.
The same person who scopes the workflow stays close through delivery, which keeps decisions clearer and reduces handoff noise.
The goal is not a polished demo. The goal is software that holds up when a real team uses it under pressure and over time.