We help teams get value from AI
Challenge
Private market investors were spending significant time on manual desktop research. Teams had to search across sources like Google, APIs, pitch decks, and call notes to piece together insights, then compile them into documents such as investment memos or IC prep decks. The process was slow, inconsistent, and hard to scale.
Outcome
We founded and developed Hercule as an agent-first platform to simulate analyst workflows. It automated search, pulled structured data from APIs, extracted insights from unstructured sources, and organized the results into usable formats. The system enabled teams to generate overviews, run comparisons, and create investor-ready outputs like memos and IC materials—all with minimal manual effort.
Challenge
B2B sales teams were spending too much time on repetitive research. Reps manually qualified leads, scanned company websites, and stitched together context before outreach. This slowed down onboarding, reduced consistency across the team, and limited coverage.
Outcome
We built Pondeo as a research and messaging assistant tailored to sales workflows. It gathered insights on companies and mapped them against our own ICP and UVP frameworks. It also supported ideation and generation of outreach tactics and message frameworks tailored to each lead. The result was a tool that improved speed, consistency, and quality across the sales motion.
Challenge
SparkForce was looking to improve how they onboard new clients and structure early campaign work. Their internal process required manual interpretation of client inputs, coordination across team members, and repetitive drafting of early deliverables. This created delays and made it harder to scale the onboarding process.
Outcome
We worked with SparkForce to design a GenAI-supported workflow that linked client-provided information directly to strategic planning outputs. The system helped the team accelerate tasks such as defining audiences, shaping messaging directions, and preparing structured starting points for campaign development. This allowed them to deliver faster and more consistently without compromising quality or control.
Custom AI Agents
We develop task-specific AI agents that perform research, decision support, or process execution.
Each agent is designed for real-world environments and integrated into existing systems.
AI Adaption
We help teams get comfortable using GenAI through hands-on work. This includes learning how to write, test, and improve prompts, and understanding how AI tools actually fit into daily workflows.
The goal is to build real confidence, not just run a training session.
AI Strategy and Roadmaps
We identify where GenAI provides actual business value.
Through structured sprints, we prioritize use cases based on technical feasibility and potential impact, reducing experimentation risk.
Automation Layers
We implement automation across business functions using no-code, low-code, and scriptable tools.
These solutions connect systems, eliminate routine tasks, and improve operational efficiency.
Integrated Delivery
We manage the full lifecycle of AI implementation, from concept and design to deployment and iteration.
Our process is hands-on, execution-oriented, and structured for delivery.
Hackathons & Co-Builds
We facilitate focused, multi-day build sessions in collaboration with our Discord-based community, universities, and institutional partners.
These sprints are used to explore high-potential ideas, test technical feasibility, and generate early prototypes in close partnership with clients and contributors.
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Implement
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Discovery
We’re a collective of founders and technologists with 20 years building startups, driving corporate innovation, and launching digital products inside agencies and labs.
Today, we help others get more out of technology by putting AI to work, fast.