The Intelligent Workspace for Data, People, and AI
Hybrid GraphRAG platform with Knowledge Graph creation, AI-memory management, and complete configurability. Built for Defense, Enterprise, and Research.
More Data, More Problems
We solved the unstructured, untracked, Big Data issues. All in one platform.
Lost Files
Trying to find an old file but forgot the filename? Anatypical solves this.
Irrelevant Context
Have a ChatGPT chat start referencing old, irrelevant chats? Anatypical fixes this.
Scattered Data
Ever wish you had all your emails, files, chats, and drives in one place? Not a problem anymore.
Intelligent Product Layer Doesn't Exist
Organizational Tools
Manual tagging, Keyword matching
Dev-Infrastructure
Requires Engineers & build time
Product Layer
No intelligent product layer exists
Hybrid GraphRAG
Our platform offers enhanced Hybrid GraphRAG capabilities, Knowledge Graph creation, and AI-memory management within deployable architecture with complete configurability.
Traditional RAG Limitations
Traditional retrieval-augmented generation (RAG) often forces a choice between dense vector search (semantic meaning) and sparse keyword search (term frequency).
GraphRAG Challenges
GraphRAG utilizes Entity-Relationship extraction to create navigable Knowledge Graphs, but lacks scalability and requires defined ontologies.
Our Solution: Hybrid GraphRAG
Our Hybrid GraphRAG system utilizes each of these techniques while using an Open-Ontology method by clustering data and traversing through entity matching, semantic similarity, and relationship compression.
S.P.I.D.R. Architecture
Normalization Layer
Accepts over 50+ types of file extensions to be ingested into a single searchable data plane.
Modular Design
Allows for plugins such as video and audio transcribers to be utilized for multimodal inputs.
Cross-Platform Integrations
Pull directly from data sources such as Outlook, Teams, and Google Drive.
Vendor-Agnostic
Does not rely on any single provider for LLMs. Configure any commercial or open-source model.
Not Another ChatGPT Wrapper
Built for Long-Term Projects. Not just one-off chats, but ongoing, data-intensive work with integrations, isolated memory, and entity-relationship detection.
Source Traceability
Each generation is connected to the data points retrieved from the Knowledge Graph and Vector Space along with model perplexity, BM25, and cosine similarity scores.
Data-Centric Memory
Unlike ChatGPT or Claude, S.P.I.D.R. is data-centric. Every generation includes a Contextual Graph with full memory provenance control.
Real-Time Collaboration
Multiple users can work concurrently within the same "Space" to build and analyze data together.
Drag-and-Drop Canvas
The UI is built as a flexible canvas for intuitive interaction with your data and knowledge graphs.
Complete Configurability
Platform offers configuration parameters for LLM and retrieval. System orchestrated through k8s, auto-scales through KEDA.
Contextual Graphs
Users can view and edit which previous responses are linked to the current generation for full control on memory inputs.
Offerings Roadmap
From production-ready technology to cutting-edge R&D, our roadmap spans the full spectrum of AI infrastructure needs.
Existing Technology
- Hybrid GraphRAG: First scalable, adaptive retrieval technology
- Real-Time Collaboration: Full stack platform for users
- Context Traceability: Users can trace sources
- Deployable: Secured, degraded, and air-gapped environments
GlassBox: AI Observability
- Modular evaluation suite for LLMs and Agentic AI
- Tiered-evaluation scoring system
- Digital Ledger Technology for immutable scores
- First deployable AI evaluation harness
Marketplace
- Users can profit from their data and AI queries
- Buy and import other users Spaces and Projects
- Currently piloting with Virginia Tech
- First marketplace for Knowledge Graph representations
OP4: Red-Teaming Suite
- Red-team LLMs and Agentic AI for Zero Day vulnerabilities
- Various payload injection techniques
- Model-agnostic & agent-agnostic configuration
- Full auditability for threat-vectors
Dual-Use Commercialization Strategy
Anatypical executes a proven dual-use strategy to ensure sustained corporate viability and continuous R&D investment.
Prime Contractor White Label
Defense & Intel Community
Revenue without direct procurement
B2B Pilots
Education, Legal, Research
$10-50K Annual Contracts
OTA/SBIR Direct
Dept of Navy, CIA, I&S
DIU, Tradewind, SBIR ph. II
Direct-to-Consumer
Freemium D2C Brand
schemebig.com - Credit-based subscriptions
Current Efforts
Enterprise Defense Integration: Actively white-labeling core architecture with a major Army prime contractor
Academic Piloting: Active pilot program in partnership with a Virginia Tech organization
Federal Alignment: Collaborating with Department of the Navy Office of Small Business Programs
Leadership Experience
Our team has experience building ML Computer Vision models, deploying air-gapped AI and RAG capabilities, and being embedded with the warfighter.
Public Sector
Private Sector
Funding to Capture the Product Layer
We're seeking $2 million in our pre-seed round for an 18-month runway.
- Bring team on full time for increased development
- Cover computational costs, continue building out the interface
- Accelerate integrations and GTM for both D2C and B2B motions