Transforming enterprise operations with generative AI
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AI on your infrastructure, tailored for real business outcomes.
At Niyata Infotech, we combine deep engineering expertise with scalable AI solutions that help enterprises accelerate innovation and improve operational efficiency. Our practice is built for real-world complexity across manufacturing, automotive, healthcare, and more. From intelligent automation to industry-tuned large language models (LLMs), our enterprise-grade AI is ready to be deployed and designed to scale.
Retrieval-augmented generation (RAG)
Combine the precision of search with the fluency of generative AI to deliver fast, contextual answers grounded in enterprise knowledge. With LLMs like GPT-4, DeepSeek, and Meta Llama, and frameworks like LlamaIndex and Milvus, we build private knowledge hubs, internal copilots, and self-assessment tools tailored to your domain. From chatbots and internet portals to internal private/public knowledge hubs, our RAG-based solutions support query resolution, troubleshooting, and self-service access, contextualised to your environment.
Why It matters
- Faster internal query resolution
- Higher accuracy in content generation
- Data privacy preserved with enterprise-controlled sources
Named entity recognition (NER)
Our advanced NER models extract names, dates, products, locations, and more from documents, reviews, and contracts, transforming unstructured inputs into actionable business insights. Built on SpaCy, Flair, and DeepSeek, these solutions are deployable across BFSI, legal tech, and customer service ecosystems.
Why It matters
- Time savings across documentation workflows
- Greater compliance visibility
- Personalized user insights at scale
Data science-as-a-service
Our no-code analytics platform allows your business teams to securely upload data, run models, and
visualize insights—without waiting on engineering.
Interactive dashboards and API-ready outputs let you act faster and make smarter decisions.
Why It matters
- Democratizes AI access across functions
- Accelerates decision-making
- Reduces time and cost to insight
Infrastructure optimized for AI at scale
Why It matters
- Reduced reliance on external cloud vendors
- Speed-to-deploy new AI models
- Full control over security and cost
AI consulting & strategy
Turn AI from concept to reality through our structured four-phase model: Explore, Validate, Deploy, and Optimize. Our consulting-led approach ensures your initiatives are grounded in feasibility and guided by business value.Whether you’re starting with a proof-of-concept or scaling an existing use case, we collaborate with you as an extended team and help you succeed.
Why It matters
- Structured roadmap reduces investment risk
- Faster time-to-value through rapid prototyping
- Built for iterative evolution, not a one-time effort
Intelligent computer vision
Our computer vision systems go beyond basic detection; they understand both images and text, and make autonomous decisions in real-time based on context. Typical applications include real-time object and lane detection in autonomous driving, surface inspection and defect detection in assembly lines, medical imaging analysis for identifying tumours or fractures in X-rays and CT scans, and surveillance systems that detect unauthorised access or abnormal movement patterns to prevent intrusions. Our scalable solutions run seamlessly on GPU clusters, edge SoCs, and cloud-native environments, enabling deployment across manufacturing lines and field devices.
Why It matters
- Reduced inspection times
- Higher operational consistency
- Deployed across cloud, GPU, and edge SoC environments
Medical imaging AI for better clinical Outcomes
Why It matters
- Reduced inspection times
- Improve accuracy of treatment plans
- Enable AI-driven triage and reporting
AI for fintech
Why It matters
- Real-time scoring for credit and lending decisions
- AI-led customer segmentation and fraud signals
- Transparent, explainable AI outputs for compliance
Bridging talent & innovation
Why It matters
- Direct access to emerging talent
- Faster onboarding for AI R&D roles
- Stronger employer branding in tech education
AI consulting & strategy
Turn AI from concept to reality through our structured four-phase model: Explore, Validate, Deploy, and Optimize. Our consulting-led approach ensures your initiatives are grounded in feasibility and guided by business value.Whether you’re starting with a proof-of-concept or scaling an existing use case, we collaborate with you as an extended team and help you succeed.
Why It matters
- Structured roadmap reduces investment risk
- Faster time-to-value through rapid prototyping
- Built for iterative evolution, not a one-time effort
Retrieval-augmented generation (RAG)
Combine the precision of search with the fluency of generative AI to deliver fast, contextual answers grounded in enterprise knowledge. With LLMs like GPT-4, DeepSeek, and Meta Llama, and frameworks like LlamaIndex and Milvus, we build private knowledge hubs, internal copilots, and self-assessment tools tailored to your domain. From chatbots and internet portals to internal private/public knowledge hubs, our RAG-based solutions support query resolution, troubleshooting, and self-service access, contextualised to your environment.
Why It matters
- Faster internal query resolution
- Higher accuracy in content generation
- Data privacy preserved with enterprise-controlled sources
Intelligent computer vision
Our computer vision systems go beyond basic detection; they understand both images and text, and make autonomous decisions in real-time based on context. Typical applications include real-time object and lane detection in autonomous driving, surface inspection and defect detection in assembly lines, medical imaging analysis for identifying tumours or fractures in X-rays and CT scans, and surveillance systems that detect unauthorised access or abnormal movement patterns to prevent intrusions. Our scalable solutions run seamlessly on GPU clusters, edge SoCs, and cloud-native environments, enabling deployment across manufacturing lines and field devices.
Why It matters
- Reduced inspection times
- Higher operational consistency
- Deployed across cloud, GPU, and edge SoC environments
Named entity recognition (NER)
Our advanced NER models extract names, dates, products, locations, and more from documents, reviews, and contracts, transforming unstructured inputs into actionable business insights. Built on SpaCy, Flair, and DeepSeek, these solutions are deployable across BFSI, legal tech, and customer service ecosystems.
Why It matters
- Time savings across documentation workflows
- Greater compliance visibility
- Personalized user insights at scale
Medical imaging AI for better clinical Outcomes
We apply deep learning to interpret DICOM medical images, including X-rays, MRIs, and CT scans,
with speed and precision.
Our models support anomaly detection, reconstructive imaging, and clinical review dashboards
powered by Power BI, helping your teams make timely, informed decisions.
Why It matters
- Reduced inspection times
- Improve accuracy of treatment plans
- Enable AI-driven triage and reporting
Data science-as-a-service
Our no-code analytics platform allows your business teams to securely upload data, run models, and
visualize insights—without waiting on engineering.
Interactive dashboards and API-ready outputs let you act faster and make smarter decisions.
Why It matters
- Democratizes AI access across functions
- Accelerates decision-making
- Reduces time and cost to insight
AI for fintech
We develop AI models that support scorecard analysis, customer profiling, and risk detection using
structured and unstructured data sources.
These models help financial institutions detect anomalies and streamline compliance workflows.
Why It matters
- Real-time scoring for credit and lending decisions
- AI-led customer segmentation and fraud signals
- Transparent, explainable AI outputs for compliance
Infrastructure optimized for AI at scale
We’ve invested in high-performance AI infrastructure—including NVIDIA RTX 4090 GPU servers—to
support training, experimentation, and production-scale deployment.
You gain the speed, flexibility, and control needed to run AI workloads securely and at scale.
We also explore fine-tuning SLMs using DeepSeek and other open-weight LLMs—leveraging NVIDIA
for parameter optimization.
Why It matters
- Reduced reliance on external cloud vendors
- Speed-to-deploy new AI models
- Full control over security and cost
Bridging talent & innovation
We collaborate with Kongu Engineering College to bridge academic learning and real-world AI
applications.
By co-designing curricula, offering workshops, and mentoring students, we help build a pipeline of
industry-ready AI talent.
Why It matters
- Direct access to emerging talent
- Faster onboarding for AI R&D roles
- Stronger employer branding in tech education