Discover what the world's best startups are building before it's announced publicly.
RAG
Model Evaluation
Prediction
Optimization
Personalization
Calendly handles simple 1:1 scheduling. Enterprise recruiters scheduling thousands of interviews per week across time zones, availability conflicts, and VIP priorities need something different. Vela coordinates across email, SMS, WhatsApp, and phone with autonomous follow-ups. $5.5M seed, already running paid pilots and yearly contracts.
Model Evaluation
Prediction
Anomaly Detection
Reinforcement Learning
Workflow Agent
Chip design teams lose weeks to undetected design drift between specs and RTL. Visibl monitors continuously, auto-triages issues, and proposes verified fixes. The CTO built silicon at Intel, Arm, and Microsoft. It sits on top of existing EDA tools rather than replacing them, which is the only realistic go-to-market in semiconductor.
Data Extraction
Model Evaluation
Prediction
Optimization
Anomaly Detection
Prediction markets are fragmented across Kalshi, Polymarket, and Crypto.com with no unified order book. Valence aggregates all three with smart routing, and over 1B contracts have been traded through the platform at $200M+ monthly volume. Built by a former Balyasny Asset Management L/S equity trader.
Computer Vision
Model Evaluation
Prediction
Optimization
Simulation
50% of US power flows through transformers at least 30 years old, and failing infrastructure causes wildfires. Voltair's autonomous drones inspect power lines with thermal, LiDAR, and RGB sensors, detecting faults that helicopter crews miss. CAD $1.83M pre-seed from Invest Nova Scotia.
RAG
Data Extraction
Computer Vision
Model Evaluation
Prediction
New model capabilities have made legal tech newly automatable. Vector Legal is close to the workflow where buyers already spend.
Computer Vision
Model Evaluation
Prediction
Fraud and Risk Scoring
Anomaly Detection
Crop insurance claim verification requires sending adjusters to physically walk fields. Verdex does it from satellite imagery with computer vision, already live with a major US insurer covering 100M+ acres (over 11% of US farmland). Expanding to property and energy insurance next.
RAG
Data Extraction
Model Evaluation
Prediction
Optimization
Industrial distributors process orders from emails, calls, faxes, and PDFs. Ventura's AI agents parse all of it and push clean structured orders into ERPs. The founder built a prototype at Harvard Business School for a $2B distributor, then dropped out to build the company. Also authored the open-source magentic LLM framework.
Data Extraction
Model Evaluation
Prediction
Optimization
Fraud and Risk Scoring
Data quality tools like Monte Carlo monitor for anomalies. Velum derives semantic contracts from actual data traffic, traces lineage across any stack, and enforces integrity from ingestion to dashboard, with no manual rules. The CEO studied quantum computing at Stanford and physics at Harvard.
RAG
Data Extraction
Model Evaluation
Prediction
Optimization
An 18-year-old Finnish National Physics Champion built a compression middleware that cuts LLM input costs 66% while improving accuracy by 1.1%. Pax Historia (193B tokens/month, 15th largest on OpenRouter) saw users prefer compressed outputs and a 5% lift in purchases. 100K tokens compressed in under 100ms.
Data Extraction
Speech AI
Model Evaluation
Prediction
Anomaly Detection
B2B software implementation is a $200B+ services market dominated by Accenture and Deloitte. Unisson's agents act as expert users inside client products, handling onboarding, configuration, and support at software speed instead of consulting speed. 5-minute deployment, usage-based pricing.
RAG
Data Extraction
Model Evaluation
Optimization
Personalization
CoStar charges $30K+/year for commercial real estate data. Travo uses vector search and ML pipelines to deliver instant valuations, rental comps, and zoning data starting at $49/month. Self-serve PLG for the brokers and investors CoStar prices out.
Data Extraction
Computer Vision
Speech AI
Optimization
Reinforcement Learning
The long bet: pair every employee with a persistent, proactive AI coworker that communicates through Slack, Teams, and email. The founding engineer has low-level GPU expertise (cuDNN, TensorRT, Rust, ex-Modular). Whether the product is too ambitious for YC stage is the question.
Speech AI
Model Evaluation
Optimization
Fraud and Risk Scoring
Anomaly Detection
Deploying AI agents to production requires cobbling together VMs, monitoring, and scaling logic. Terminal Use packages it into a Vercel-like platform with git-native workflows and model-agnostic orchestration. All three founders built agent infrastructure at Palantir.
Data Extraction
Speech AI
Model Evaluation
Personalization
Anomaly Detection
40+ SaaS integrations, 10+ pre-built AI employee templates, dedicated VM isolation per customer. Tensol ships managed AI agents that proactively monitor and act without prompts, built on the open-source OpenClaw framework. The founder previously built workflow automation at Stacksync (YC), so the integration plumbing is familiar territory.
RAG
Data Extraction
Speech AI
Model Evaluation
Prediction
Medspas use 5-7 separate tools for scheduling, charting, marketing, payments, and inventory. Tepali consolidates them into one AI-native OS with virtual phone agents and automated SOAP notes. The founder scaled operations at Rilla (vertical AI unicorn) and brings PJT Partners M&A experience.