- SandLogic’s innovative tool is designed to monitor and control hallucinations in AI-generated responses. Inspired by the legendary Hanuman, HaluMon embodies strength and precision, ensuring that the outputs of our AI models are accurate, reliable, and trustworthy.
- Enabling Fairness, Accountability and Trust
- Domain specific hallucination monitoring capability
- Real Time detection of hallucination bias and Mitigation. Human-in-the-loop with reinforcement learning
- Evaluation Of the LLM output with Industry standard matrices (BLEU, Meteor etc.) for factual correctness, accuracy, contextual relevance, compliance to policies, degree of harmlessness, jailbreak management, privacy 8 data protection.
- LLM Ops is SandLogic’s enterprise-grade framework designed to streamline the full lifecycle of Large Language Models — from training and fine-tuning to deployment, monitoring, and continuous improvement.
- At the heart of our AI infrastructure, LLM Ops ensures that Shakti LLMs and domain-specific models are not only powerful but also reliable, scalable, and ethically governed in production environments.
Lingo is your all-in-one voice intelligence platform—built for scale, speed, and real impact. Our powerful multilingual ASR captures speech with precision, while advanced NLP uncovers real intent, emotion, and meaning across every interaction.
From quality checks and agent performance monitoring to deep customer analytics, Lingo transforms unstructured voice and text data into actionable insights—fueling better decisions, improved service, and measurable business outcomes.
SandLogic Agent Studio is a powerful no-code/low-code platform that lets you design, build, and deploy intelligent AI agents tailored for your business workflows. With an intuitive visual interface, you can configure agents using Shakti LLMs or open-source models like Llama and Mistral, define custom tools, manage context-aware memory, and connect to your APIs — all without writing heavy code. Whether you're creating internal copilots, automation bots, or customer-facing assistants, Agent Studio empowers teams to launch scalable, domain-specific agents with precision. Integrated testing, live debugging, and one-click deployment to web, chat, or voice channels make it enterprise-ready and developer-friendly.
SandLogic Bots Studio is a streamlined platform for creating and managing task-specific bots that automate conversations, actions, and workflows across your organization. Designed for speed and simplicity, Bots Studio allows teams to build lightweight bots using predefined templates, modular logic blocks, and Shakti LLM-powered responses. Whether it’s automating FAQs, scheduling meetings, handling support tickets, or triggering backend APIs, Bots Studio offers a plug-and-play experience with real-time testing, version control, and multi-channel deployment. Ideal for customer support, HR, operations, and internal productivity, it helps enterprises deploy intelligent bots quickly — without the complexity of full agent orchestration
Meet Vocally by SandLogic Technologies – the all-in-one thought capture app that blends simplicity with AI intelligence. Whether you're on a walk, in a meeting, or planning your next big idea, Vocally makes it effortless to record and organize your thoughts.
We will be available on Play Store and AppStore.
Transcribe & analyze unstructured text with Human like intelligence. A Visual Intelligence based Intelligent Document Processing (IDP) platform which automates the business process / workflows through capturing, classifying, verifying, & extracting data for your consumption.
Power your voice-first applications with the Lingo Voice API Developer Console — a powerful platform to connect Speech AI and Shakti LLMs. Configure speech-to-text, text-to-speech, and conversational intelligence in minutes. Scalable. Fast. Intelligent.
We will soon go live.
- No code low code studio enabling ease of orchestration of Al agents.
- Robust RAG framework for multiple domain/ data source adoption.
- Compatible with Open Source, Commercialized and SandLogic LLM models
- Ready to deploy integration modules for enterprise applications such as ERP, CRM, Bl etc.
- Ability to onboard data from varied file formats such as excel, documents, databases, application etc.
Model zoo comprising 04 range of LLMs for multiple use cases. 15+ published Lexicons (LLMs Such as MS Phi3. Llama, GEMMA, Mistral) quantized and optimized using SandLogic's proprietary quantizer — EdgeMatrix. Published on github for public use. EDGEMATRIX quantizer comprises of tools and algorithms.
- Pre-trained model Only 2.5Bn parameters. Able to generate outputs akin 3.8Bn parameters.
- Compact architecture variants ranging from 100mn parameter to 8Bn parameters.
- Multi-model multi-lingual compatible architecture (Vision, Audio, Image, text) Captive training methods Algorithms.
- Device first during model design. It can run on heterogeneous hardware.
- Benchmarked against MS phis, Llama, GEMMA, Mistral.
- Python-based toolkit for model compression, quantization, and pruning.
- Reduces model size by 50-60% with less than 2% accuracy loss.
- Supports int8 and fp8 quantization for reduced memory consumption.
- Cross-compatibility with major Al frameworks (TensorFlow, PyTorch, etc.).
- GUI-based, low-code interface for deploying Al models on edge devices.
- Supports a wide range of neural network operators for flexible Al deployment.
- Compiler optimizations for pre-fetching and dynamic memory scheduling.
- Development of a dedicated backend for XLA/IREE compilers to optimize performance.
- Reconfigurable and Scalable design.
- Compute engine for CNN and LLM operations with support for INT8 and INT4 precision.
- DataFlow modeler for the best inference speed and maximum parallelism.
- Comprehensive software ecosystem and ready to use NNs.
- Deployable on FPGA platforms and can fabricated as SoC. Ready assets for FPGA and ASIC.
- Ready for commercial applications starting July 2026
- ExSLerate V2 AI Processor based SoC.
- 16 nm tech node
- ARM host processor
- DDR4 Memory
- 15 TOPS
- < 2W power consumption
- Prototype SoC chips will be ready 3rd quarter of FY 26-27.
- PCIe host interface
- Built for real-time Al tasks, including vision, NLP, and audio processing.