AI Product Development — Specialised Service

Build AI-Powered Products
That Actually Work

From idea to production-ready AI product — we design, build, and launch custom AI-powered applications, LLM-driven SaaS tools, intelligent agents, and automation products for startups and enterprises across the USA, UK, UAE, and Europe.

GPT-4 / Claude / Gemini MVP in 6–10 Weeks HIPAA / GDPR Aware
What We Build With AI
Conversational AI & Chatbots
RAG & Knowledge Base Products
Autonomous AI Agents
AI SaaS & B2B Platforms
Generative AI & Content Tools
40+
AI Products Launched
6–10 Wks
MVP to Launch
8+
LLM Integrations
95%
Client Satisfaction
AI Product Development

From Prompt to Production — We Build AI Products That Scale

The AI revolution isn't just about using ChatGPT — it's about building proprietary AI-powered products that give your business an unfair competitive advantage. Digivance Solutions is a specialised AI product development company that takes your idea from whiteboard to a fully functional, production-grade AI product. We combine deep LLM expertise with battle-tested software engineering to deliver products that are fast, accurate, secure, and scalable.

LLM-Powered Apps

GPT-4, Claude 3.5, Gemini, Llama — we integrate the right model for your use case and budget.

RAG Architecture

Retrieval-Augmented Generation over your own data — private, accurate, and hallucination-resistant.

Agentic Systems

AI agents that browse, reason, execute tasks, and use tools autonomously — built on LangChain, AutoGen, or CrewAI.

Secure & Compliant

Private deployment options (on-premise / VPC), data isolation, GDPR and HIPAA-aware engineering.

Our AI Development Services

End-to-End AI Product Development Services

Whether you're a startup building your first AI product or an enterprise adding AI to existing workflows — we cover every layer of the stack.

Conversational AI & Chatbots

Intelligent chatbots and virtual assistants that go beyond scripted responses — context-aware, multi-turn, and deeply integrated with your systems.

  • Customer support AI (replaces tier-1 agents)
  • Internal HR, IT & legal assistant bots
  • Sales qualification & lead nurturing bots
  • WhatsApp, Slack, Teams & web embedding
RAG & Knowledge Base Products

Transform your documents, PDFs, databases, and knowledge into a searchable, conversational intelligence layer.

  • Document Q&A over private data
  • Enterprise knowledge search engines
  • Legal, medical & compliance document AI
  • Pinecone, Weaviate, pgvector RAG pipelines
Autonomous AI Agents

Multi-step reasoning agents that can browse the web, call APIs, run code, write files, and complete complex tasks without human intervention.

  • Research & competitive intelligence agents
  • Data scraping & enrichment agents
  • Workflow automation & orchestration
  • LangChain, AutoGen, CrewAI, LangGraph
AI SaaS Product Development

Full-stack development of AI-native SaaS products with LLM cores, usage-based billing, multi-tenancy, and scalable infrastructure.

  • AI writing, coding & design tools
  • Vertical SaaS for healthcare, legal, finance
  • Usage metering & subscription billing
  • Multi-tenant architecture & API access
Generative AI & Content Tools

AI-powered creative tools that generate text, images, video scripts, code, emails, social posts, and marketing copy at scale.

  • AI content generation platforms
  • Brand-voice-tuned copy generators
  • Image generation & editing tools (DALL·E, Stable Diffusion)
  • Video & podcast script generators
AI Integration & Automation

Embed AI intelligence into your existing applications, CRMs, ERPs, and workflows — without rebuilding from scratch.

  • OpenAI / Anthropic API integration
  • AI-powered CRM & ERP enhancements
  • Intelligent process automation (IPA)
  • Custom fine-tuning & model training
Predictive Analytics & ML Models

Machine learning models that forecast demand, detect anomalies, score leads, personalise recommendations, and prevent churn.

  • Churn prediction & retention scoring
  • Demand forecasting & inventory optimisation
  • Fraud detection & risk models
  • Recommendation engines
Computer Vision Products

Visual AI systems that detect, classify, track, and analyse images and video for industrial, retail, security, and healthcare applications.

  • Object detection & image classification
  • Document OCR & intelligent extraction
  • Quality control & defect detection
  • Face recognition & biometric systems
Voice AI & Speech Products

Voice-first AI applications — from real-time transcription and voice search to fully autonomous voice agents that handle inbound calls.

  • AI voice assistants & IVR replacements
  • Real-time transcription & summarisation
  • Meeting intelligence tools (Otter.ai-style)
  • Text-to-speech & audio generation
Why Choose Digivance

Why 40+ Businesses Trust Digivance for AI Product Development

We don't just integrate OpenAI API — we architect complete, production-grade AI systems built for real users, real loads, and real business outcomes.

Model-Agnostic Expertise

We work with GPT-4, Claude 3.5, Gemini, Llama, Mistral, and open-source models. We select the right LLM for your use case — not the most hyped one.

MVP in 6–10 Weeks

Our structured AI sprint methodology gets you from validated idea to working MVP in 6–10 weeks, with phased feature releases to maintain momentum.

Security-First by Design

Private VPC deployments, data isolation, PII redaction, audit logging, and GDPR/HIPAA-aware engineering baked in from day one.

Cost-Optimised Architecture

LLM inference costs can spiral. We design caching layers, prompt optimisation, hybrid model routing, and usage controls to keep costs predictable.

Built to Scale

From 10 users to 100,000 — our infrastructure is designed for scale from the start, using async queues, streaming responses, and horizontal scaling.

Product Partner, Not Just Dev Shop

We advise on AI strategy, product-market fit, pricing models, and go-to-market. We're your long-term AI product partner, not just a code vendor.

Technology Stack

Our AI Technology Stack

We use the most proven and production-ready AI tools — selected for reliability, not hype.

LLM Models
GPT-4o Claude 3.5 Gemini 1.5 Llama 3 Mistral DeepSeek
AI Frameworks
LangChain LangGraph CrewAI AutoGen LlamaIndex Haystack
Vector DBs & Storage
Pinecone Weaviate pgvector Chroma Qdrant Redis
Backend & Infrastructure
Python / FastAPI Node.js Next.js AWS Azure AI Docker / K8s
Our Process

How We Build Your AI Product — Step by Step

1
AI Product Discovery & Scoping (Week 1)

We map your use case, define the AI approach (RAG vs. fine-tuning vs. agent), select the right models, and produce a detailed technical specification and MVP roadmap.

2
Architecture & Proof of Concept (Week 2–3)

We build a working PoC to validate accuracy, latency, and cost. You see a functional demo before we commit to full development — reducing risk and aligning expectations.

3
Full Product Development (Week 3–8)

Full-stack build: LLM pipeline, backend APIs, frontend UI, integrations, authentication, billing, and observability. Daily standups and weekly demos keep you in the loop.

4
Testing, Evaluation & Red-Teaming (Week 8–9)

Accuracy testing, adversarial prompt testing, latency benchmarks, load testing, and security review. We run LLM eval pipelines to measure model performance systematically.

5
Launch & Ongoing Optimisation

Production deployment with monitoring, cost tracking, error alerting, and model performance dashboards. Monthly optimisation cycles improve accuracy and reduce inference costs over time.

Industries & Use Cases

AI Products We've Built Across Industries

AI has a use case in every vertical. Here's where we've delivered production AI products.

Healthcare AI Assistant Legal Document AI Financial Report AI EdTech Tutoring Bot eCommerce Recommendation Engine AI Customer Support Real Estate AI Search AI Code Review Tool HR Onboarding Assistant AI Content Platform Supply Chain Forecasting Crypto Sentiment Analyser Sales Intelligence Agent AI Video Script Generator SEO Content AI Clinical Notes Summariser

Why Hire an AI Product Development Company in India?

India is home to some of the world's most talented AI engineers, data scientists, and ML researchers. Digivance Solutions brings this talent to your AI product at a fraction of the cost of US or UK agencies — without sacrificing quality, speed, or communication.

60–70% Cost Saving
vs. equivalent USA / UK AI development teams, with no compromise on LLM expertise.
Timezone-Friendly
IST overlaps with UAE/Europe mornings and USA evenings — we run daily syncs across all timezones.
Certified Expertise
Our engineers hold OpenAI, AWS ML, and Google Cloud AI certifications and actively follow LLM research.
IP & NDA Protected
Full IP ownership transfer, strict NDA, private repositories, and dedicated team structures.
40+
AI Products Built
$2M+
Client Revenue from AI
8+
LLMs Integrated
95%
On-Time Delivery
FAQs

Common Questions About AI Product Development

AI product development costs depend on complexity. A simple RAG-based chatbot or knowledge base tool: $8,000–$20,000. A full AI SaaS product with auth, billing, multi-tenancy, and custom pipelines: $25,000–$80,000+. An enterprise-grade AI platform with fine-tuned models: $80,000+. We always start with a scoping call to give you an accurate estimate.

A working AI MVP (proof of concept + core features + basic UI) typically takes 6–10 weeks. We use a phased approach: PoC validation in week 2–3, full MVP by week 8, launch readiness by week 10. Timeline varies with integration complexity and number of AI features.

There's no universal answer. GPT-4o excels at reasoning and code. Claude 3.5 Sonnet leads at long-context tasks and instruction-following. Gemini 1.5 Pro is strong for multimodal tasks. Open-source models (Llama, Mistral) reduce costs for high-volume applications. We run benchmarks specific to your use case and select the right model — or a combination via model routing.

Yes — this is one of our core specialisms. We use RAG (Retrieval-Augmented Generation) to connect LLMs to your private data without sending sensitive data to OpenAI's training pipeline. We can deploy entirely within your AWS/Azure VPC, implement data isolation per tenant, and add PII redaction layers. We are GDPR and HIPAA-aware and can provide compliance documentation.

Yes. AI products require ongoing care — models update, costs fluctuate, and user behaviour shifts. We offer monthly AI product retainers from $500/month that include model version management, prompt optimisation, performance monitoring, LLM cost tracking, minor feature additions, and priority bug fixes.

Absolutely. You own 100% of the code, architecture, custom prompts, fine-tuned model weights, and all other deliverables. We sign an NDA before work begins and a full IP transfer agreement is included in every engagement. Your product is yours.
AI Product Development

Have an AI Product Idea? Let's Build It Together.

Book a free 30-minute AI product discovery call. We'll assess your idea, recommend the right AI approach, and give you a realistic scope, timeline, and budget estimate — no fluff, no commitment.