As Bangalore's leading AI app development company, we design and engineer intelligent applications — from generative AI features to end-to-end AI software development — that give your business a decisive competitive edge.
From AI mobile app development in Bangalore to enterprise-grade AI software development — we engineer intelligent solutions across every industry.
Custom ChatGPT-like assistants, content generation engines, and AI copilots powered by GPT-4o, Claude, and Gemini — tailored to your workflows.
Native and cross-platform AI mobile apps built in Bangalore — featuring on-device ML, real-time inference, personalization engines, and smart recommendations.
Object detection, facial recognition, OCR, quality inspection, and real-time video analytics systems — deployed on cloud and edge devices.
Intelligent chatbots, voice assistants, sentiment analysis, document intelligence, and multilingual NLP pipelines supporting Hindi, Kannada, and 40+ languages.
End-to-end AI software development in Bangalore — from data pipelines and model training to MLOps infrastructure, APIs, and enterprise SaaS platforms.
Demand forecasting, churn prediction, fraud detection, recommendation engines, and real-time scoring systems integrated directly into your existing tech stack.
Sub-300ms response times using model quantization, caching layers, and GPU-optimized inference clusters — even at enterprise scale.
GDPR-compliant data handling, on-premise LLM deployment options, PII redaction pipelines, and model bias auditing built into every project.
Retrieval-Augmented Generation with vector databases (Pinecone, Weaviate, pgvector) to ground LLMs in your proprietary data with zero hallucinations.
Automated retraining pipelines, drift detection, A/B model testing, and real-time performance dashboards — keeping your AI accurate over time.
AI layer drops into your existing ERP, CRM, or mobile stack via REST, GraphQL, or gRPC — minimal disruption, maximum intelligence.
A proven AI delivery framework refined across 200+ intelligent apps — our Bangalore team ships fast without sacrificing accuracy or safety.
We audit your data assets, define measurable AI success metrics, choose the right model architecture (fine-tuned LLM, custom ML, or RAG), and produce a risk-assessed project roadmap.
Data cleaning, labelling, and preprocessing pipelines built. Model architecture finalized. Baseline benchmarks established so every iteration shows measurable improvement.
Parallel sprints — AI/ML engineers train and iterate on the model while frontend and mobile teams build the user-facing application. You see live demos every week.
Rigorous accuracy benchmarking, hallucination testing, adversarial prompting, bias audits, and latency profiling — ensuring the AI behaves reliably under real-world conditions.
Cloud or on-premise deployment with auto-scaling inference. Post-launch model drift monitoring, automated retraining triggers, and 90-day support window included as standard.
AI-powered diagnostic support platform integrating medical imaging analysis and LLM-driven clinical notes for 80+ hospitals across Karnataka.
Computer vision + demand forecasting AI platform for a leading Bangalore retail chain — cutting overstock by 38% and reducing stockouts by 52%.
Real-time ML fraud detection engine processing 3M+ daily transactions for a Bangalore-based NBFC — reducing fraud losses by 73% within 90 days of launch.
"As a Bangalore-based hospital network, we needed an AI app development company that understood both the clinical domain and world-class engineering. Jurysoft delivered a diagnostic AI that our radiologists actually trust. That's incredibly rare."
"We evaluated six AI software development companies in Bangalore before choosing Jurysoft. Their depth in ML and their understanding of real business outcomes — not just model metrics — set them apart. The fraud detection ROI was visible within 30 days."
"Jurysoft built our AI mobile app in Bangalore and had it live on both app stores in 8 weeks. The on-device ML for shelf scanning works offline in our warehouses with zero connectivity — something we thought would take 6 months to solve."
We combine deep ML engineering expertise with full-stack product development — rare in one team. Based in HSR Layout, Bangalore, we've shipped 200+ AI applications across healthcare, fintech, and retail. We measure success by business outcomes (revenue impact, cost reduction, accuracy at scale), not just model benchmarks.
A focused AI feature or LLM-powered chatbot can go live in 4–6 weeks. A full AI mobile app with custom ML models, a backend, and store submission typically takes 8–14 weeks. Complex AI software development projects involving fine-tuning, computer vision pipelines, or multi-model systems range from 16–24 weeks. We provide precise timelines after the discovery session.
LLM integration and chatbot MVPs start at ₹8–15 lakhs. Mid-complexity AI mobile apps with custom models and backends range ₹25–60 lakhs. Enterprise AI software development with fine-tuning, MLOps infrastructure, and multi-platform deployment starts at ₹75 lakhs+. We provide a fixed-price quote following the discovery workshop.
We start with what you have. Our data engineers assess your existing datasets, identify gaps, and build preprocessing pipelines to make them model-ready. For scenarios with limited proprietary data, we leverage transfer learning, pre-trained foundation models, and synthetic data augmentation to get strong results without starting from scratch.
Absolutely. For healthcare, banking, and government clients, we offer fully on-premise AI deployments where no data leaves your infrastructure. We work with open-source LLMs (LLaMA, Mistral) and self-hosted vector databases to deliver full AI capability without any dependency on external cloud AI APIs.
Book a free 45-minute AI discovery call with our Bangalore team. We'll assess your data, recommend the right AI approach, and give you a ballpark estimate — no commitment needed.