Legal video moment retrieval. Find exact clips with timestamps across years of footage.
70B parameter model. No training required. Deploy in days, not months.
ChemRAG benchmark. Retrosynthetic pathways. SMILES input, JSON output.
23 NJ agencies. 8+ formats. PDFs, CSVs, scanned docs. One query spans all.
928 real queries. Deep mode. Agentic reasoning with 3-layer attribution.
Top-5 retrieval. No fine-tuning. No frontier model. Just a better algorithm.
Truly intelligent machines cannot be built by LLMs alone. Video Cognition is key to unlocking dark matter of real world data. Physical AI needs a semantic layer for perceiving actions, trajectories, and sensory data.
Single Perception DB for All Physical AI Data.
A Python SDK for curating gameplay into world-model training data. Runs raw gameplay, robot, and egocentric footage through a composable operators (windowing, features, filters, source-aware splits, sampling), for action-state consistency, collision oversampling, and SLAM trajectory recovery.
One video-native omni-modal platform for semantic search & retrieval of data in any format — telemetry, gameplay, PDF, sensors, EEG, CSV, video, JSON, text documents. Retrieve the exact answer with human intuition and source-cited results.
Live products. Real data at massive scale. See the platform applied.
4,000+ hours of city council meetings, planning hearings, and legislative sessions. Ask a question, get the exact video clip with timestamp.
85 million records across 23 agencies and 8+ formats. Structured tables, scanned PDFs, policy documents. One query spans them all.
0.25 trillion gameplay clips across first-person shooters, simulations, and motion capture sessions. Actions, keystrokes, mouse inputs, environment states. One query retrieves the right training moment.
Research papers, benchmarks, and engineering write-ups from the AIntropy team.
View all posts →Hybrid BM25 + kNN retrieval achieving 94.89% Top-5 on SQuAD. Published on arxiv.
Read paper → 4,000hrsFrom single-pass retrieval to agentic deep thinking. Quick mode: 6.9s, 90% accuracy. Deep mode: 94%.
Read blog → 85M85 million records. 23 agencies. 8 formats. Every frontier model sees none of it. Here is why, and what we built.
Read blog →Backgrounds in LLM pre-training, multimodal AI, search retrieval engines and enterprise AI deployment.
We are looking for researchers and engineers who want to teach AI to perceive the world like living beings.
Build the ML brain that understands the world through pixels, frequencies, and sensory streams. Ship products that define the next decade of spatial intelligence.
Design the backbone that makes everything scale, perform, and make sense economically. Build infrastructure that optimizes, heals, and pays for itself.
Find Product-Market Fit, run lean growth experiments, and craft the story that makes people realize they can't live without us.
Partner with the CEO to translate vision into results. Build the operational backbone and AI tools to automate company operations at startup speed.
