Artificial Intelligence (AI) has often been perceived as an advanced but distant technology—powerful, yet overly complex, expensive, and out of reach for most businesses. While AI developments continue to dominate headlines, their real-world applicability remains limited for many organizations, especially those requiring industry-specific solutions and private deployment options.
Kamalakar Devaki, Founder and CEO of SandLogic Technologies, is on a mission to close this gap. His approach isn’t about following AI trends for attention—it’s about creating intelligent systems that are grounded, trustworthy, and built for real business needs. Kamal is working to ensure that AI isn’t reserved for tech giants alone but becomes an efficient, secure, and cost-effective tool for businesses across the board.
Reimagining AI for Real Business Use
Kamal’s vision stems from a core belief: AI must be context-aware, resource-efficient, and easily deployable across various environments—from cloud data centers to on-premise servers and even edge devices like wearables and IoT systems. With a deep foundation in software architecture and systems design, Kamal recognized the limitations of generalized AI models. They often fail to capture the nuances of specific industries, suffer from hallucinations (incorrect outputs), and rely too heavily on cloud infrastructure, raising concerns over privacy and latency.
This understanding led him to establish SandLogic Technologies, a company focused on making AI usable, customizable, and scalable, especially for enterprises and small to medium-sized businesses. His guiding principle: “Adding Intelligence” in a way that aligns with industry needs, respects privacy, and drives efficiency.
Bridging the Gap Between Innovation and Accessibility
SandLogic’s innovation is deeply rooted in creating solutions that make AI more meaningful and applicable. Kamal and his team have developed a suite of products designed to minimize AI’s traditional challenges:
- Shakti LLM, an advanced language model optimized for contextual understanding with minimal hallucination.
- LingoForge, a customizable platform that enables enterprises to train and deploy their own AI models on-premise or in the cloud.
- ExSLerate, a power-efficient AI chip built for edge applications, offering sub-1-watt AI processing.
These tools make AI accessible for businesses without extensive infrastructure or data science expertise. LingoForge, in particular, allows companies to control their data, comply with regulations, and fine-tune AI models to suit their operational contexts.
Enabling AI Adoption for Smaller Enterprises
Many small and medium enterprises (SMEs) face major roadblocks in adopting AI. From high deployment costs and lack of skilled professionals to concerns about data leakage and rigid models, the barriers are real.
Kamal’s response to these challenges is evident in SandLogic’s development strategy. The company’s tools are engineered for privacy, low-power execution, and affordability. For example, Shakti LLM is optimized for real-time, accurate natural language processing, even in resource-constrained environments. Meanwhile, ExSLerate enables on-device AI inference for applications like drones, medical devices, or industrial systems, eliminating the need for persistent cloud connectivity.
By lowering the entry barriers and focusing on usability, SandLogic is empowering SMEs to tap into AI’s benefits without investing in large infrastructure or relying on cloud-based solutions that may compromise data security.
Creating Enterprise AI That Works Across the Stack
Kamal’s leadership has guided SandLogic to take a full-stack approach to AI—from custom chips and hardware acceleration to enterprise-grade language models and AI-powered analytics tools.
One of the company’s standout platforms, LingoForge, enables businesses to build domain-specific AI capabilities from scratch. It allows organizations to train LLMs privately and securely, while ensuring compliance through role-based data access and fine-grained control. This is especially relevant in sectors like healthcare, banking, and manufacturing, where regulatory frameworks and proprietary knowledge demand strict data handling.
Alongside this, Lingo—SandLogic’s speech and NLP platform—supports multiple languages and is designed to provide real-time business intelligence from voice data, enabling automated quality checks and performance analysis across markets.
Bringing Intelligence to the Edge
One of the most ambitious aspects of Kamal’s work is the shift of AI from the cloud to the edge. Traditional AI models rely heavily on server farms and internet access, limiting their practicality in real-time or low-bandwidth environments.
To solve this, Kamal led the creation of ExSLerate, a compact AI co-processor that consumes less than one watt of power. This innovation enables AI to run on devices such as industrial robots, wearables, or smart city infrastructure with limited energy resources and no dependence on centralized cloud services. In doing so, SandLogic is opening up AI to sectors where latency, connectivity, and power constraints previously made adoption unfeasible.
Automating Text and Document Workflows with TXTR
Another major area of impact is text data automation. SandLogic’s TXTR platform is designed to process complex, multi-format documents with high accuracy using Optical Character Recognition (OCR) and Intelligent Character Recognition (ICR).
In banking and financial services, TXTR streamlines document verification, fraud checks, and compliance reporting. In healthcare, it digitizes and processes handwritten prescriptions, records, and insurance claims. In logistics, TXTR automates shipping documentation, reducing paperwork and improving accuracy.
By integrating AI into document-heavy workflows, Kamal’s team is reducing operational bottlenecks while improving speed and accuracy.
Supporting Responsible and Transparent AI
Understanding the risks associated with AI—like hallucinations, bias, or misinformation—Kamal has also prioritized ethical AI development. The company’s Halumon framework ensures that AI-generated content remains reliable, accurate, and safe. It implements real-time checks, adaptive learning, and bias filtering to ensure responsible AI behavior.
As regulatory scrutiny increases, SandLogic is already aligned with future compliance needs, building systems that are governable, auditable, and trustworthy.
Backed by Industry and Built for Scale
SandLogic’s credibility is reinforced by its participation in several key programs. These include:
- Chips to Startup (C2S) – for semiconductor innovation and AI chip development.
- Qualcomm’s Mentorship Program – to fine-tune ExSLerate’s edge AI capabilities.
- NASSCOM DeepTech Club – offering engagement with stakeholders and validation of SandLogic’s AI stack across industries.
These partnerships have helped SandLogic refine its technologies and position itself as a strong player in India’s AI and semiconductor ecosystem.
Looking Ahead: Smarter, Specialized, Scalable AI
Kamal envisions a future where AI isn’t one-size-fits-all. Enterprises will increasingly demand custom AI tailored to their domain, deployed securely across edge, cloud, and hybrid systems. SandLogic is already paving the way with platforms like LexIQ, which integrates with BI tools to deliver conversational, real-time business insights using LLMs.
For entrepreneurs in the AI space, Kamal offers practical advice: “Don’t just build models—build solutions. Understand the problem deeply. Stay committed to responsible development. The future of AI belongs to those who can balance innovation with trust.”
With a portfolio of intelligent tools and a clear vision for the future, Kamalakar Devaki is proving that AI doesn’t have to be mysterious or inaccessible. It can be secure, scalable, and smart—built not just for headlines, but for results.
