Inference Layer

Go beyond search results. Get AI summaries & insights, securely

Enhance your data with LLM power, without moving it

Raw data and search results only tell part of the story. You need summaries, explanations, and deeper insights generated by powerful large language models (LLMs). But sending your sensitive results to external AI services creates unacceptable security risks.

Kamiwaza’s inference layer is the enhancement engine for your distributed data. It adds sophisticated LLM reasoning after retrieval, securely processing results where they live using our inference mesh.

Raw results aren’t actionable intelligence

Your retrieval systems find the right documents or data points. But users are still left with too much information and not enough understanding.

  • Information overload — Users get long documents or complex datasets but lack the time to synthesize them into actionable insights.
  • Lack of context — Raw results often need explanation or connection to broader context which standard search cannot provide.
  • The security risk of cloud LLMs — Sending internal search results or sensitive data snippets to a public cloud LLM API for summarization or analysis is a major security and compliance violation waiting to happen.
  • Limited model choice — You might be locked into a single provider’s LLM, unable to use the best model (like GPT 4, Claude, or specialized open source options) for a specific task.

You need the power of LLMs applied to your internal data, but without the security nightmare.

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Secure, local LLM enhancement for your distributed data

The inference layer is an optional component within Kamiwaza’s retrieval pipeline. It intelligently enhances raw results using LLMs, operating securely within your infrastructure.

LLM enhancer: Transforming results into insights

This component takes processed results and applies LLM capabilities:

  • Generate summaries — Automatically condense long documents or multiple search results into concise summaries.
  • Add explanations — Provide context and clarification for complex data points or technical jargon.
  • Refine answers — Transform raw retrieved facts into natural language answers tailored to the user’s query.

Model gateway: Flexibility and choice

Access a variety of cutting edge AI models through a unified interface. Use the best model for the job, whether it is GPT 4, Claude, Qwen, or other specialized models, without vendor lock in.

Powered by the secure inference mesh

Crucially, all Inference Layer processing happens locally within your secure environment, orchestrated by Kamiwaza’s inference mesh. Results are enhanced without ever sending sensitive information outside your control.

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Adding intelligence to the retrieval pipeline

  1. Data retrieval — Kamiwaza’s engine gathers results using semantic search, keyword search, and graph traversal across your distributed data.
  2. Optional enhancement — Based on the request, results can be sent to the inference layer or returned directly (“fast path”).
  3. Secure LLM processing — If enhancement is chosen, the LLM enhancer uses the model gateway to apply the selected AI model locally via the inference mesh.
  4. Actionable intelligence delivered — The user receives the refined, summarized, or explained results, gaining deeper understanding faster.

Get results, not just software

Start building today, scale to enterprise tomorrow with guaranteed outcomes every step of the way

Community Edition

$00 /forever /month

Flex Edition

$25,0008 / year /month

Starter Edition

$75,00016 / year /month

Enterprise Edition

$125,000149 / year /month

Community Edition

Flex Edition

Starter Edition

Enterprise Edition

Core Platform

Distributed Data Engine
Locality-aware data operations for RAG
Inference Mesh
Scalable inference across environments
Local Model Repository
API-accessible model management and deployment
Data Catalog
Easy ingestion from files/objects with credential management

Developer Tools

Embeddings Middleware
Model-aware chunking with automatic offset tracking
Vector Database Access
Seamless integration with byte-range retrieval
Cluster Awareness
Develop on Mac, deploy on Linux clusters
React UI
Ready-to-use interface for platform management

APIs & Integration

REST APIs
Comprehensive API suite for custom development
Jupyter Environment
Pre-configured with sample notebooks
Developer Middleware
Data ingestion, retrieval, and model deployment tools
Loose Coupling
Abstracted, fungible architecture for flexibility

Deployment

Integrated Stack
Full Kamiwaza platform with llamacpp/vLLM engine
Pre-Evaluated Components
Tested versions of Datahub and dependencies
Nodes
Number of cluster nodes
1
3
3
3
CPUs/GPUs
Number of CPU/GPU Sockets
1
+1
3
3
VRAM
Maximum VRAM per GPU
-
128GB
500GB
Unlimited

Enterprise Capabilities

Distributed Processing
Intelligent workload orchestration across nodes
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Advanced Security Controls
Enterprise-grade access management
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Production Deployment
Battle-tested for business-critical applications
-
Professional Support
Priority technical assistance
-

Outcome-Based Support

Guaranteed Outcomes Per Year
Expert-guided implementation of high-value AI solution
-
1
4
12
Dedicated Implementation Support
Work directly with Kamiwaza engineers
-
Solution Design & Optimization
Custom AI workflow development
-
Quarterly Reviews
Regular assessment of value delivered
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Monthly Reviews
Regular assessment and optimization
-
-
-
Dedicated Outcomes Architect
Assigned strategic implementation partner
-
-
-
Priority Engineering Access
Direct line to technical experts
-
-
-
Strategic Transformation Planning
Long-term AI roadmap development
-
-
-

Get LLM power without the risk

Secure enhancement — Apply powerful LLM reasoning without sending sensitive data outside your firewall. Maintain 100% compliance.

Actionable insights, not just results — Transform raw data into summaries and explanations that accelerate decision making.

Model flexibility — Choose the best LLM for each task from leading providers and open source options. Avoid vendor lock in.

Seamless integration — Works as an optional layer within your existing Kamiwaza deployment, leveraging the secure Inference Mesh.

Balance speed and depth — Choose between direct “fast path” results or deeper “enhanced path” insights based on user needs.

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Turn your data into understanding securely

Stop choosing between powerful AI insights and data security. Discover how Kamiwaza’s Inference Layer adds secure LLM enhancement to your distributed data.