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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.

◆ Self-Improving Agentic Software Factory

Coding Agents · Compound Engineering · Multi-Agent Orchestration

Designed and recently shipped a Level 7-8 software factory for a venture-backed startup, where humans and coding agents (Claude Code, Codex, Cursor, GitHub-native, autonomous loops) deliver production code through one closed-loop pipeline. Every bug becomes a regression test, every incident a runbook, every repeated agent mistake an updated AGENTS.md, skill, or eval. Multi-worktree parallel orchestration, cross-model review with disagreement gating, scoped agent identities, branch-per-PR databases, and a post-merge compound workflow that turns each shipped change into reusable skills and playbooks.

◆ IRB-Approved Voice AI for Clinical Trials

Healthcare · Voice AI · Regulatory Compliance

Built among the first AI voice agents approved by two of the world's largest IRBs to handle clinical trial prescreening, informed consent, and participant scheduling. Voice-native agents (not chatbots) embedded in the trial workflow: prescreening qualifies inbound candidates and routes them forward; informed consent walks enrolled participants through the consent process by voice, answers questions in real time, and checks comprehension; scheduling handles visit booking, reminders, and changes. All three escalate to humans for clinical questions and live as platform-native workflows rather than bolted-on widgets.

◆ 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.