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Semantic Brain delivers Secure Reliable AI

Optimization Copilot

Productivity, Transformation & Compliance

Supercharge LLMs with Enhanced & Explainable Analytics(BizML) to deliver Unprecedented Productivity Gains

Your Super-Intelligence that You Own & Control!

Problems & Opportunities

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Market Overview & Challenges

Traditional AI market is big ($200B/year) and is used in several areas.

Generative AI market is smaller but growing much faster.

70% of Traditional AI investments by Enterprises fail to deliver an ROI

  • Increased complexity

  • Reduced transparency

Adoption of Generative AI in Enterprises has been limited due to reliability issues(e.g. Hallucinations)

The Big Opportunity

There is a big opportunity to integrate Traditional AI with Generative AI to address current problems and deliver disruptive value.


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Technical Benefits

BizML implements Feature Engineering & Selection to

  • Increase Accuracy up to 20% / Reduce Error Rates up to 50% of ML models

  • Reduce Data Requirements

    • Lowers cost and initial investment requirements​

    • Fewer projects constrained by data availability

Business Benefits

  • Planner: Non-technical planners can work directly with BizML. The feedback loop results in the incorporation of higher-quality data and features increasing accuracy.

  • Executor: BizML augments predictions and recommendations with additional context, increasing executor productivity.

  • Generative AI: BizML can feed prediction/recommendations along with additional context to Gen AI, increasing personalization and reliability.

Semantic Query

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Semantic Query is an LLM implementation that

  • Enables Planners, Executors and Gen AI(i.e. Agentic Workflows) to access data sources using natural language

  • Acts as ​a wizard to the overall solution

Essentially improves accessibility and ease of use.

Semantic Brain Platform

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Super-Intelligent Workflows

Build on BizML to drive Productivity, Enterprise Transformation and Risk & Compliance Management

Integrate LLMs

  • Semantic Query: Natural language query of data sources and application wizard.

  • Semantic Graph(future)

    • Map multiple domains(e.g., quant and language) at scale

    • Unique insights with graph analytics


Enable New Use Case Types

  • Periodic Reports: Automated complex/multi-step reports

  • Notifications: Alert users on important/relevant events 

  • Topic Prediction: Predict user queries and information needs to improve interaction 

Semantic Shield

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AI Security, Safety & Alignment - Open Source Initiative

LLM/Generative AI are more intelligent and require more security

Add Semantic Shield, and integrate with your AI and DevSecOps stack


  • Secure Confidential/Sensitive Information

  • Protect AI from misbehaving users

  • Protect users from misbehaving AI

Architecture & Approach​

  • Network DMZ-Inspired architecture

  • Shift left approach to AI security

  • Integrate AI innovation with proven security best practices


Ad Optimization for Google, LinkedIn and YouTube

ConversionAI explanatory video

Watch Explainer Video (1:48)

Acquisition Ads/Marketing
Semantic Analysis recommends

  • Campaign Structure, Keywords, Negative Keywords, Content, Bidding, Budget

  • Up to 5x Acquisitions per Ad $ Spend

Conversion Ads/Remarketing
Behavioural Analysi
s recommends

  • Target Audience: Who, When, How Much

  • Up to 5x Conversions per Ad $ Spend

Combined: Up 25x Conversions per Ad $ Spend

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