Meet the 1-Click AI Data Agent
One command to parse, clean & embed data into ready-to-use tables, knowledge graphs or vectors — no glue code
> databot process invoices.pdf--parse --clean--out enriched_invoices.csvExtracts structured data from documents
Automatically pulls fields and tables from documents or any raw input into ready-to-use rows.
Cleans your data intelligently
Automatically detects data quality issues, writes cleaning code, and applies fixes— no ETL.
Embeds your data for AI reasoning
Embeds your data into vector embeddings with smart chunking or constructs entity-relation graphs for advanced AI reasoning.
1> All Developer Tools
Build Knowledge Graphs for AI Applications
Generate graph-native knowledge from unstructured and semi-structured data. Backed by GNNs, probabilistic inference, and long-distance relation mapping. Your graph DBs just got smarter.
Key Features
Ontology-driven data modeling
Relation and entity inference
Graph-based reasoning
Built by Prescott Labs
RAG Builder API
Point it at your docs and let it chunk, embed, and send to your vector store. Devs use this to auto-build RAG stacks for Q&A, summarization, and custom AI apps in minutes.
Key Features
Hybrid search indexing
Embeddings-aware APIs
Optimized for agents
Built by Prescott Labs
Clean your Data via Data Cleaning Engine
Handles structured and unstructured inputs differently. Applies smart pipelines, anomaly detection, and schema-based filtering to prep data for analytics or insights.
Key Features
Intelligent null handling
Outlier detection
Schema validator
Built by Prescott Labs
Perform OCR on Document Forms via Parser API
Extracts structure from forms, PDFs, and scanned docs. Devs love it for turning insurance, health, or legal paperwork into usable data on demand.
Key Features
Table & form detection
Optical character recognition
Supports scanned documents
Built by Prescott Labs
Semantic Search with Dromos Embedding Models
Embed anything. Then search across it like magic. This powers Q&A, summarization, and intelligent retrieval across docs, chats, tickets — whatever you've got.
Key Features
Open-domain embeddings
Hybrid search ready
Optimized for Q&A and summarization
Built by Prescott Labs
Jarvis Core: Agent OS SDK
Build autonomous agents that write, execute, and validate their own functions. With built-in P2P messaging, task handoffs, and a safeguard layer, Jarvis Core powers agentic workflows from first principles.
Key Features
Function generation & validation
Agent handoffs + P2P messaging
Pluggable registry + safeguard agents
Built by Prescott Labs
2> Example Builds
Built by Developers. Deployed by Agents.
Use the Dromos engine stack to go from prompt to production. Assemble agents. Automate systems.
RAG-Powered Chatbot
Deploy source-aware chatbots trained on internal documentation.
Access coming soon →Autonomous Dashboards
Dashboards that update and interpret themselves using agents.
Access coming soon →API Automation Agent
Chain, validate, and execute APIs using prompt-driven logic.
Access coming soon →Unstructured Parser
OCR and parse documents or screenshots into structured outputs.
Access coming soon →Task Coordination Hub
Multi-agent orchestration for real-world enterprise workflows.
Access coming soon →