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AI Software Built
for Bangalore.
Deployed Globally.

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.

0
AI Apps Shipped
4.9★
Client Rating
0
% Accuracy Rate
6 wk
Avg AI MVP Timeline
JuryAI Studio
Bangalore, India
psychology
Model Inference Active
LLM → Response in 240ms
99.8%
Uptime
240ms
Latency
GPT-4o
Model
verified
ISO 27001
AI Security Certified
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#1 AI Company
Bangalore, 2024
GENERATIVE AI LARGE LANGUAGE MODELS AI MOBILE APPS COMPUTER VISION NLP SOLUTIONS OPENAI / GPT-4o LANGCHAIN VECTOR DATABASES ML PIPELINES
What We Build

Every Type of AI Application.
One Expert Team in Bangalore.

From AI mobile app development in Bangalore to enterprise-grade AI software development — we engineer intelligent solutions across every industry.

chat

Generative AI Apps

Custom ChatGPT-like assistants, content generation engines, and AI copilots powered by GPT-4o, Claude, and Gemini — tailored to your workflows.

OpenAIClaude APIGemini
smartphone

AI Mobile App Development

Native and cross-platform AI mobile apps built in Bangalore — featuring on-device ML, real-time inference, personalization engines, and smart recommendations.

CoreMLTensorFlow LiteFlutter
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Computer Vision Solutions

Object detection, facial recognition, OCR, quality inspection, and real-time video analytics systems — deployed on cloud and edge devices.

OpenCVYOLORekognition
record_voice_over

NLP & Conversational AI

Intelligent chatbots, voice assistants, sentiment analysis, document intelligence, and multilingual NLP pipelines supporting Hindi, Kannada, and 40+ languages.

LangChainWhisperspaCy
hub

AI Software Development

End-to-end AI software development in Bangalore — from data pipelines and model training to MLOps infrastructure, APIs, and enterprise SaaS platforms.

PythonPyTorchMLflow
query_stats

Predictive Analytics & ML

Demand forecasting, churn prediction, fraud detection, recommendation engines, and real-time scoring systems integrated directly into your existing tech stack.

Scikit-learnXGBoostBigQuery ML
Our Capabilities

AI Engineering Depth at Every Layer

bolt

Low-Latency AI Inference

Sub-300ms response times using model quantization, caching layers, and GPU-optimized inference clusters — even at enterprise scale.

security

Responsible AI & Data Privacy

GDPR-compliant data handling, on-premise LLM deployment options, PII redaction pipelines, and model bias auditing built into every project.

device_hub

RAG & Knowledge Grounding

Retrieval-Augmented Generation with vector databases (Pinecone, Weaviate, pgvector) to ground LLMs in your proprietary data with zero hallucinations.

analytics

MLOps & Model Monitoring

Automated retraining pipelines, drift detection, A/B model testing, and real-time performance dashboards — keeping your AI accurate over time.

cloud_sync

Seamless System Integration

AI layer drops into your existing ERP, CRM, or mobile stack via REST, GraphQL, or gRPC — minimal disruption, maximum intelligence.

AI Technology Proficiency

LLM Integration & Prompt Eng.98%
Computer Vision & OpenCV94%
NLP & Conversational AI96%
AI Mobile App Development93%
ML Model Training & MLOps95%
RAG & Vector Search97%
AI Tech Stack We Work With
PythonPyTorchTensorFlowLangChainOpenAIHuggingFacePineconeFastAPIMLflowVertex AIAWS SageMakerAzure OpenAI
Our Process

From AI Concept to Production
in 6 Weeks.

A proven AI delivery framework refined across 200+ intelligent apps — our Bangalore team ships fast without sacrificing accuracy or safety.

1

AI Feasibility & Data Discovery

Week 1

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.

2

Data Pipeline & Model Design

Week 2

Data cleaning, labelling, and preprocessing pipelines built. Model architecture finalized. Baseline benchmarks established so every iteration shows measurable improvement.

3

Model Training & App Development

Weeks 3–5

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.

4

AI Evaluation & Red-Teaming

Week 5–6

Rigorous accuracy benchmarking, hallucination testing, adversarial prompting, bias audits, and latency profiling — ensuring the AI behaves reliably under real-world conditions.

5

Deployment & Continuous Learning

Week 6+

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.

200+
AI Apps Delivered
98%
Model Accuracy Rate
4.9★
Client Satisfaction
<300ms
Avg AI Response Time
Case Studies

AI Apps We've Shipped.

View All AI Projects arrow_forward
local_hospital
HealthAI

DiagnoAI Clinical Assistant

AI-powered diagnostic support platform integrating medical imaging analysis and LLM-driven clinical notes for 80+ hospitals across Karnataka.

94%
Accuracy
4.9★
Rating
10 wk
Timeline
Read Case Study arrow_forward
store
RetailAI

SmartShelf Retail Intelligence

Computer vision + demand forecasting AI platform for a leading Bangalore retail chain — cutting overstock by 38% and reducing stockouts by 52%.

-38%
Overstock
4.8★
Rating
8 wk
Timeline
Read Case Study arrow_forward
account_balance
FinAI

CreditLens Fraud Detection AI

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.

-73%
Fraud Loss
3M+
Daily Txns
12 wk
Timeline
Read Case Study arrow_forward
Client Voices

What Our Clients Say.

★★★★★

"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."

A
Dr. Ananya R.
CTO, DiagnoAI Health Systems
★★★★★

"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."

S
Suresh M.
VP Technology, CreditLens NBFC
★★★★★

"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."

K
Kavitha N.
Head of Digital, SmartShelf Retail
4.9/5
Google Rating
4.8/5
Clutch.co
ISO 27001
AI Security Cert.
Top 1%
AI Partners India
Got Questions?

Frequently Asked.

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.

Start Today

Let's Build Your
Next AI Application.

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.

💬 Chat with us!
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