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> AI R&D and Product Development

We build experimental, frontier AI systems and ship them to production. From zero-to-one greenfield builds to integrating AI into existing platforms — for startups and enterprises, working directly with leadership.

Our Services

✻ Research & Prototyping

Explore what's possible before committing to a build. We research, prototype, and validate AI approaches so you invest in what actually works.

▶ Product Development

Zero-to-one builds or integration into existing systems. We don't build demos — everything we ship is on a path to production.

◉ Models & Infrastructure

Frontier APIs, open-weight self-hosted models, or classical ML — we work across the full stack and bridge traditional AI/ML with genAI and LLMs.

⚑ VC Services

Portfolio intelligence platforms, fund accounting systems, and deal flow engines built for the largest VC and PE firms.

Featured Work

> What we've shipped across healthcare, fintech, AI infrastructure, venture capital, and sales enablement.

◆ IRB-Approved Voice AI for Clinical Trials

Healthcare · Voice AI · Regulatory Compliance

Built one of the first AI voice agents approved by two of the world's largest IRBs to conduct informed consent in clinical trials. The agent walks participants through consent by voice, answers questions in real time, checks comprehension, and escalates to humans for clinical questions. Not a chatbot on a help article — a voice-native agent embedded in the consent workflow.

◆ Prediction Market Intelligence & Trading

Classical ML · Multi-Agent Research · Autonomous Trading

End-to-end prediction market platform that aggregates data across five major exchanges, detects cross-platform arbitrage via fuzzy matching, and executes trades using Kelly Criterion sizing. A multi-stage AI research pipeline (Gemini for research, Claude for synthesis) feeds probabilistic confidence scores into classical ML trading models — bridging traditional quantitative methods with LLM-driven analysis.

◆ Contact Intelligence & Sales Enablement Platform

Deep Research Agents · Multi-Model Routing · VC-Backed Startup

Built the AI engine for a venture-backed sales enablement platform. 30+ specialized extraction agents for contact enrichment, resume parsing, risk scoring, and fake profile detection. Multi-model routing — Gemini Flash for fast inference, Claude for complex reasoning — across a production API serving millions of enrichment requests.

◆ Academic Credential Verification at Scale

Deep Research Agents · ORCID · Scholar APIs

Built specialized deep research agents for the largest data labeling platform to verify PhD credentials and research publications. Cross-references ORCID, Google Scholar, Semantic Scholar, CrossRef, and university databases to validate academic claims — conference presentations, publication records, field-of-study matching, and institutional affiliations.

◆ Fully Agentic Back Office

SaaS Operations · Autonomous Agents · YC-Backed Company

Designed and deployed a fully autonomous back office for a mobile application marketplace — handling customer support tickets, inbound queries, user account management, subscription billing, refunds, and FAQ resolution. Zero human operators in the loop for standard operations.

◆ Post-Training Evaluation for Coding LLMs

LLM Infrastructure · Eval Harnesses · A/B Testing

Built automated post-training evaluation loops and test harnesses for agentic coding models at one of the largest LLM providers. Automated A/B testing of coding models against real-world programming tasks at scale, providing rapid feedback on model quality between training runs.

◆ Portfolio Intelligence for VC & PE Firms

RAG · Fund Operations · Hybrid Search

Built portfolio intelligence platforms for several of the largest venture capital and private equity firms. Reverse portfolio search engines, automated fund accounting workflows, and large-scale data ingestion pipelines transforming unstructured deal flow into structured, searchable knowledge bases.

◆ VC Due Diligence & Deal Flow Automation

Workflow Automation · Research Agents · Accelerator Programs

Built deal flow research and due diligence automation for multiple well-known accelerator and VC programs. Automated intake triage, founder background research, market sizing, and competitive landscape analysis — turning weeks of manual due diligence into hours.

◆ Autonomous AI Video Production

Content Generation · Video Rendering · Multi-Platform Publishing

Built a fully autonomous video production pipeline — AI-generated scripts, local TTS, AI-generated B-roll, animated data visualizations, subtitle burning, and section composition via FFmpeg. Publishes finished videos across TikTok, X, and other platforms. End-to-end from research to published content with no human in the rendering loop.

Core Capabilities

Custom MCP Servers
Agent Skills & Orchestration
RAG Solutions
Prompt & Context Engineering
Vector Databases
Semantic & Hybrid Search

About Us

What We Do

Old maps marked uncharted territory with “here be dragons.” We took the name because that's where we work — on the AI projects that don't have a playbook yet. Experimental systems, novel architectures, problems that require real R&D.

Founded in 2009, we work directly with founders and leadership teams at venture-backed startups and large enterprises. Every project ships on a path to production — whether that's a greenfield build from zero or integrating AI into systems that already serve millions.

◇ Our Mission

Take experimental AI from research to production. We work on the projects that are too new for a vendor solution and too important to get wrong.

↯ Our Approach

Embedded with your leadership. Fast cycles from research to prototype to production. We work across the full model stack — frontier APIs to self-hosted open-weight models.

Team

DA

Dan Andrews

Founder & CEO

15+ years building products at startups and enterprises. Bridges the gap between AI research and production systems.

AS

Armaan Sood

AI Integration Architect & Multi-Agent Orchestrator

Designs and builds multi-agent systems, from orchestration layers to tool integrations. Deep focus on reliability at scale.