Layer-2 LLM Engine, that keeps getting better!
Understand your users like never before and deliver experiences
that keep them coming back.
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You are loosing 100% of the valuable data.
Hipo.ai is built on a foundation of trust and security. We prioritize your privacy, ensuring that all data processed through our system is handled with the utmost confidentiality and compliance with global data protection.
Why is Layer-2 LLM Engine useful for me?
Hipo.ai uses a customer fit score to prioritize outreach to the right people, ensuring that your efforts are always relevant and effective. Based on all the connected data source.
Gain clarity on what drives user actions.
Create experiences that resonate.
Give users something extra than what they pay for.
Where AI model keeps get smarter!
Revolutionizing personalization by empowering models to learn and adapt in real time — just like people do.
Knowledge Graphs & Insight Engine
Captures all the inference data and store it in knowledge graph for real-time analytics and insights.
Gateway LLM Pro
Compatible with all the LLM models making real-time switching possible.
AutoTune AI
Optimize LLM via prompt engineering, fine-tuning, DICL, RLHF and Ops Orchestration.
AI Sandbox
Run A/B tests, multi-armed bandits experiments to compare different optimization strategies.
Task Delegation
Intelligent decision-making to assign tasks to the most suitable LLM model for a given context.
Continuous Benchmarking
Tracks performance with actual user scenarios, like engagement, open rates, and response quality.
"Industry-standard benchmarks like MMLU, GLUE, HELM, etc."
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Most asked question
Most asked question on what makes Hipo.ai the best AI Agent for customer activation and retention.
View all questions
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What is a Layer-2 LLM Engine, and how does it work?
A Layer-2 LLM Engine acts as an intelligent intermediary between users and foundational LLMs like GPT-4, Claude, or Mistral. It enhances efficiency, optimizes responses, and improves control by applying customization, caching, orchestration, and optimizations on top of base models.
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How is Hipo.ai’s Layer-2 LLM Engine different?
Hipo.ai’s Layer-2 Engine adds speed, cost-efficiency, and adaptability compared to directly using base LLMs. It provides context-aware optimizations, multi-model routing, memory recall, and enterprise-grade security while reducing API costs and latency.
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What are the key benefits?
Imagine if you can enhance your messages based on the historical data of things that worked and actively sending feedback to the Layer-2 LLM Engine about the things that is working. It keeps training based on the market signal.
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Can I integrate the Layer-2 LLM Engine with my existing AI infrastructure?
At present we are not selling this individually but yes you can.
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How does the Layer-2 LLM improve response time and accuracy?
By using query optimization, prompt engineering, caching, and dynamic routing, it ensures responses are faster and more precise, reducing unnecessary API calls to base LLMs.
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Can the engine handle large-scale enterprise workloads efficiently?
Absolutely. It is designed for high concurrency, batch processing, and multi-threaded execution, making it suitable for handling thousands of requests simultaneously.
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What optimization techniques does Hipo.ai use to enhance LLM performance?
We have propritory solution that comprises of Adaptive Caching, Multi-Model Routing, Compression & Pruning.
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Does it support real-time or batch processing for large datasets?
Yes! The system supports both real-time queries for interactive applications and batch processing for large-scale data analysis or document automation.
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Can I train with my company’s proprietary data?
Yes! Hipo.ai allows you to train via domain-specific data ingestion, and double encrypt it based on your password and TouchID hashes.
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Can I use multiple base models with the Layer-2 engine?
Yes! Hipo.ai’s engine supports dynamic model switching, allowing it to route queries to different LLMs based on performance, cost, and accuracy needs.
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How does Hipo.ai ensure data privacy and security in Layer-2 processing?
Hipo.ai uses end-to-end encryption, role-based access control, on-prem deployment options, and secure API management to protect customer data.
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Does Hipo.ai store customer data?
By default, Hipo.ai processes queries in real time without storing sensitive data. However, enterprises can configure logging and storage settings based on their security needs.
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How does the Layer-2 system mitigate risks like AI hallucinations or bias?
LLM Frenzy is scary. It employ Fact-checking with retrieval-based grounding, AI guardrails & moderation and Bias detection algorithms to ensure fairness in outputs.
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Can I deploy the Layer-2 LLM Engine on-premises or in a private cloud?
We are currently building API SDK so that your team can use it from your own server. You just need to integrate it with API key and you are all set.
Our Blogs
Provides insights, helps personalize messages, and boosts customer relationships.
19 blogs / articles
Knowledge Base
Empowers users with resources to maximize Hipo.ai’s capabilities efficiently.
9 knowledge base
How to, Vs
Clarifies features, helping customers choose the best options and settings effectively.
12 guides & vs
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