Healthcare
Healthcare AI Accuracy
The need for Blockify's effectiveness for High Accuracy Industry Use Cases such as Healthcare
Read Case Study →Blockify Your Data 78X more accurate AI. 3X fewer tokens. Governance by design.
Your files weren't designed for AI. To scale with AI, your data needs to evolve. Blockify supercharges your data for AI.
Defense
US Military
Supporting the US Military through improving LLM Accuracy by 78x with Blockify and AirgapAI
Read Case Study →Pharmaceutical
Top 3 Pharmaceutical
Supporting a Top 3 Pharmaceutical company through improving Legal Document Analysis via AutoReports and LLM Accuracy by 78x with Blockify and AirgapAI
Read Case Study →Consulting
Big Four Consulting
Supporting a Big Four Consulting Firm's sales teams through improving LLM Accuracy by 78x with Blockify and AirgapAI
Read Case Study →Manufacturing
Fortune 200 Manufacturing
Supporting a Fortune 200 Manufacturing company's supply chain through AutoReports Bulk Document Analysis and Nebulous Prioritization
Read Case Study →This is why AIs Hallucinate. The data is a mess.
Without Blockify the error rate for an AI is ~20%. With Blockify, ~0.1%
User Query: "Why is it necessary to have a roadmap for verticalized solutions?"
Blockified Result
IdeaBlock ID: 0388728e-5621-4ca8-a5dc-d0689e315b13
Verticalized Solutions Roadmap Importance
Why is it necessary to have a roadmap for verticalized solutions?
Having a roadmap for verticalized solutions drives adoption. This helps internal business cases and customer pricing account for potential costs while creating a clear technology strategy.
4.06X Improvement
Vector Distance: 0.1374
Naive Chunking Result
Raw Text Chunk ID: 4
In contrast, vertical use cases target industry-specific workflows that require domain knowledge, context, and expertise. For these, foundation models may need to be fine-tuned or may even require new special-purpose models. For instance, Generative AI can be used to create a customized portfolio of securities based on reward descriptions or recommend personalized treatment plans based on a patient's medical history and symptoms...
Vector Baseline (1X)
Vector Distance: 0.5584
Notice that the Naive Chunking Result doesn't even mention roadmapping, the essential information to the user's question, while the Blockify result perfectly answers the user's question. Both are pulled from the exact same dataset.
Trust every answer every time, with Blockify.
~78X Accuracy with Blockify
Achieve unmatched LLM performance with ~78X higher accuracy, 3X fewer tokens, and near-zero hallucinations using the Blockify engine. Distill and deduplicate content into IdeaBlocks to cut vector noise, increase precision, and lower cost.
Governed Knowledge You Control
Blockify creates compact, governed IdeaBlocks that carry permissions and provenance. Keep your AI and RAG accurate, auditable, and aligned to policy--regardless of where you host inference.
Faster Adoption
Ship production AI and RAG solutions faster with a golden corpus that SMEs can review in hours, not months. Blockify reduces duplication, restores canonical truth, and slots cleanly into existing workflows.
Accuracy & Trust
- ~78X AI LLM RAG accuracy uplift
- ~56% higher vector-search precision
- Virtually no hallucinations via governed IdeaBlocks
- 261% Better AI Responses
- Works with any trusted company dataset
Governance & Security
- Concept-level governance travels with every IdeaBlock
- Fine-grained access controls (role, clearance, export control)
- Audit-ready dataset for regulated industries
- Restore canonical truth and reduce drift
- Easy granular data access by function (Sales, HR, Technical)
Efficiency & Speed
- ~3X token efficiency lowers cost and latency
- ~40X dataset reduction (~2.5% of original)
- SME content review in hours, not months
- Fast to production; "Slot-in" to existing RAG pipelines
- Complete cross compatibility with any RAG pipeline
Open Ecosystem
- Plug into Unstructured.io, AWS Textract, Gemini
- Supports OpenAI, Bedrock, Mistral, Jina embeddings
- Vector DBs: Azure AI Search, Pinecone, Milvus
- Supports Fine-tuned models and BYOM
- Drop-in preprocessing for any RAG pipeline
Choose Your Blockify Plan
$50 in Free Credits
Blockify Developer (Usage)
$0.25
/ 1000 Tokens
Charged per Token for Internal and External Usage
Pay as you go
Create a Free Account- ✓ Cloud API for Fine-tuned Blockify LLMs
- ✓ No Training On Your Data
- ✓ OpenAPI Standard with Easy to Use Console
- ✓ Free n8n Automation Workflow
- ✓ Blockify Ingest and Distillation LLMs
- ✓ ~78X LLM RAG accuracy uplift
- ✓ Fine-grained tags: role, clearance, export control
- ✓ Internal or External Use
Licensing & Use applies. Learn more
Free Trial
Blockify Enterprise (Monthly)
$27
/ month
Licensed per One Human User or per One AI Agent
$324 annual total
Subscribe Monthly- ✓ On Premises Fine-tuned Blockify LLMs for Self Hosting
- ✓ Blockify Ingest and Distillation LLMs
- ✓ ~78X LLM RAG accuracy uplift
- ✓ Fine-grained tags: role, clearance, export control
- ✓ Cross Compatibility with Unstructured.io, AWS Textract, Azure AI Search, Pinecone, Milvus, and more
- ✓ Internal Employee or AI Agent use only
Licensing & Use applies. Learn more
Popular
Blockify Enterprise (Perpetual)
$135
/ one-time
Licensed per One Human User or per One AI Agent
20% Annual Maintenance Fee
Get Perpetual Access- ✓ On Premises Fine-tuned Blockify LLMs for Self Hosting
- ✓ Blockify Ingest and Distillation LLMs
- ✓ ~78X LLM RAG accuracy uplift
- ✓ Fine-grained tags: role, clearance, export control
- ✓ Cross Compatibility with Unstructured.io, AWS Textract, Azure AI Search, Pinecone, Milvus, and more
- ✓ Internal Employee or AI Agent use only
Licensing & Use applies. Learn more
External License (Perpetual)
$16
/ one-time
Per 100 External Human / AI Agent Web Visitors
20% Annual Maintenance Fee
Get Perpetual Access- ✓ On Premises Fine-tuned Blockify LLMs for Self Hosting
- ✓ Enables external consumption (public chatbots, 3rd-party AI agents)
Blockify Licensing & Use Click to expand
Clear, developer-friendly summary of how you can use Blockify based on your license:
- Install anywhere: Use Blockify (object code only) on any number of devices or hosts--your infrastructure or third-party--as long as you have paid licenses for the users/agents.
- Per user/agent: Every person or AI Agent who accesses Blockify-generated data--directly (e.g., RAG chatbot) or indirectly (e.g., other apps/automations)--needs a valid, paid license.
- Internal use only: Blockify and its outputs are for your company's internal use. Do not share, resell, or sublicense without explicit written permission or terms in your license agreement.
- External consumption: For public chatbots or 3rd-party AI agents, add a "Blockify External User License -- Human" or "Blockify External User License -- AI Agent."
For complete terms, see your legal license agreement.
All plans are subject to applicable taxes and fees.
Learn how Blockify delivers ~78X accuracy uplift and ~3.09X token efficiency. Learn more
Blockify: Ingest, Distill, Govern,
and Accelerate Enterprise RAG
Why Blockify is the Smart Choice for Enterprise-Grade AI and RAG |
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|
Naive Chunking | ||
|---|---|---|---|
| Accuracy Uplift (LLM RAG) | ✓ ~78X improvement | ✗ Baseline | |
| Governed Knowledge Units | ✓ IdeaBlocks with tags | ✗ Mixed paragraphs | |
| Vector Search Precision | ✓ ~56% higher precision | ✗ Lower precision | |
| Token Efficiency | ✓ ~3.09X fewer tokens | ✗ Higher token use | |
| Dataset Reduction | ✓ ~40X smaller (~2.5%) | ✗ Large, redundant | |
| Hallucination Mitigation | ✓ Governance-first | ✗ Fragmented context | |
| Semantic Deduplication | ✓ Canonical blocks | ✗ Duplicative Clutter | |
| Review Cadence | ✓ Quarterly, hours | ✗ Continuous rework | |
| Access Controls | ✓ Fine-grained tags | ✗ File-level only | |
| Data Governance | ✓ Built-in | ✗ Minimal | |
| Patented Ingestion & Distillation | ✓ Yes | ✗ | |
| Vendor-Agnostic | ✓ Open LLMs | ✗ Vendor lock-in | |
| Upgrade Control | ✓ Yes | ✗ | |
| Open Source Compatibility | ✓ Yes | ✗ | |
| LLM Upgrade Timing | ✓ You control | ✗ | |
| Fine-tuned Models | ✓ Supported | ✗ | |
Blockify Overview
See Blockify In Action
~78X AI and RAG Accuracy
261% Better AI Responses
~3X Token Efficiency