Decrease Costs and latency on your Search & Retrieval
Simplismart can decrease costs and increase throughput on your search and retrieval engines. Improve the latency of your RAG pipelines by deploying optimized embedding models and fine-tuned LLMs. Directly integrate with Vector Databases and build state of the art applications.
Supercharge your RAG pipeline
Supercharge your RAG Pipeline
Simplismart improves your RAG pipelines by increasing throughput, decreasing latency and saving you significant compute costs.
Build product copilots
Build Product Copilots
Build fintech, SAAS, and other copilots by fine-tuning Llama3-8B or similar LLMs with Simplitune. Test and deploy them in under a week from ideation.
Build enterprise search
Build Enterprise Search
Use Simplismart to host embedding and LLMs to build AI-powered assistants that provide contextual and informative answers to work questions.
Retrieval based QnA
Retrieval based Q&A
Build secure, fast, and inexpensive question answering chatbot on top of your legal, HR, customer, or other data. With on-prem deployment, this data stays secure and confidential.
Real-Time Anomaly Detection
Simplismart facilitates high-frequency trading by enabling real-time data processing, anomaly detection, and secure AI algorithm collaboration.
Data-Driven Recommendations
Enhance customer satisfaction and drive revenue with targeted, context-aware recommendations with machine learning algorithms analyzing billions of datasets in real-time
Fraud Forecasting
Through the use of pattern recognition and predictive analytics proactively, detect and counteract cyber threats, money laundering, and fraud.
Strategic Network Optimization
With predictive intelligence to network optimization  forecast customer profitability, anticipate system failures, and strategically manage asset allocation.
Rapid Auto-Scaling
Simplismart autoscales in under 60 seconds versus the industry average of around 5 minutes.
Total Data Security
Simplismart can be deployed on-prem, giving you complete data and model security.
Fast Deployment
We speed up GenAI model inference on the hardware layer, the serving layer and the model backend.
Unmatched Pricing
We optimise models using state-of-the-art techniques saving costs for both us and you.

Latest Updates from our Blog

Learn more about Simplismart and the ever-evolving ML/GenAI landscape. Our blog curates the latest news, updates, and tutorials that can keep you on the cutting edge.

Building a Llama 3 Chatbot with RAG (ft. Guardrails AI)

Learn how to build a secure, high-speed chatbot using RAG and Guardrails AI. This step-by-step guide covers document ingestion, contextual retrieval with LangChain, fast response generation via SimpliLLM, and input validation using Guardrails. Ideal for enterprises deploying AI for support, internal tools, or lead generation—without complex DevOps.

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A Beginner’s Guide to Quantization for Large Language Models (LLMs)

Large Language Models (LLMs) are complex and require a significant amount of computational resources to function effectively. They are designed to understand and generate human-like text, which involves processing vast amounts of data. This blog explores how Quantization can be an effective strategy to save compute time and costs while getting a similar quality.

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A primer on optimising Large Language Models (LLMs) for higher inference speeds

Explore how Simplismart accelerates open-source LLM inference using techniques like batching, quantization, speculative decoding, and flash attention—boosting throughput by 30x while optimizing for cost, speed, and real-time performance.

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Transform MLOps

See the difference. Feel the savings. Kick off with Simplismart and get $5 credits free on sign-up. Choose your perfect plan or just pay-as-you-go.

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