AI & Intelligent Automation
From RAG pipelines and LLM integrations to AI agents and intelligent automation — we build production-ready AI systems that solve real business problems. No hype, just results.
Core Capabilities
Senior talent across AI, ML, and automation disciplines — from strategy to production deployment.
Autonomous · Intelligent
Intelligent agents that handle customer support, lead qualification, scheduling, and internal workflows autonomously.
Key Strengths
Retrieval · Generation
Query your documents, databases, and knowledge bases with natural language. Accurate, cited, grounded answers.
Key Strengths
End-to-End · AI-Powered
AI-powered automation for document processing, data extraction, email triage, and repetitive business processes.
Key Strengths
Our Approach
Most AI projects fail because they never leave the prototype phase. We engineer for production from day one — with cost controls, monitoring, fallbacks, and real-world error handling built into every system.
Before committing to a full build, we validate the AI approach with a working prototype on your data. De-risk early, learn fast.
LLM calls are expensive. We engineer prompt chains, caching layers, and model routing that keep costs low and responses fast.
Error handling, fallbacks, monitoring, rate limiting — every AI system we ship is production-hardened from day one.
Services
Every AI capability your business needs — from strategy to ongoing optimization.
Custom-trained models fine-tuned on your domain data for classification, generation, and extraction tasks.
Vector-based semantic search for content, products, or docs — find what you mean, not just what you type.
ML models for forecasting, anomaly detection, churn prediction, and data-driven decision making.
Natural language interfaces for your products — voice, chat, and multi-modal interaction patterns.
AI-powered content pipelines for marketing, documentation, product descriptions, and reports.
Prompt injection protection, output validation, content filtering, and responsible AI frameworks.
AI architecture, roadmap, and technical specs that set your product up for long-term success.
Connect AI to your CRM, ERP, email, Slack, and every tool in your stack with production-grade APIs.
Industries
Domain expertise where AI delivers the highest ROI.
Medical document processing, patient triage chatbots, and clinical decision support.
Fraud detection, risk scoring, automated compliance, and intelligent document review.
Product recommendations, AI search, dynamic pricing, and automated customer support.
Contract analysis, clause extraction, due diligence automation, and legal research assistants.
Intelligent tutoring, content generation, automated grading, and personalised learning paths.
Predictive maintenance, quality control, supply chain optimization, and demand forecasting.
Under the Hood
We build AI systems that start simple, scale gracefully, and integrate with your existing stack. From proof-of-concept to production-grade infrastructure — we handle the full lifecycle.
GPT-4o & Claude Integration
Best-in-class LLM integrations with prompt engineering, model routing, and cost optimization.
Vector Databases
Pinecone, Weaviate, Chroma, and Qdrant for high-performance semantic search at any scale.
LangChain & LlamaIndex
Production-grade RAG pipelines, agent frameworks, and orchestration for complex AI workflows.
Security & Compliance
SOC2-ready infrastructure, data encryption, PII redaction, and privacy-first AI architectures.
Monitoring & Observability
Real-time monitoring, cost tracking, hallucination detection, and performance dashboards for LLM calls.
Evaluation & Testing
Systematic prompt testing, A/B experiments, regression suites, and continuous improvement loops.
Get Started
We provide a free and guaranteed estimate for cost and timeline with every engagement.
Embed senior ML engineers, data scientists, and AI architects into your team. Ramp up in days, not months.
Build a complete AI-powered product from scratch — strategy, data pipeline, model, UI, deployment, and monitoring included.
Short-term, focused sprints — audit your AI readiness, build a proof of concept, fine-tune a model, or scope a migration.
Tailored pricing for every stage — whether you're exploring AI, building a PoC, or scaling to production.
Tech Stack
LLMs & APIs
Frameworks
Vector & Data
ML & Infra
How We Work
A clear 6-phase process — from validating your AI use case to production monitoring.
Discovery & Data Audit
We understand your use case, evaluate your data landscape, and identify the highest-impact AI opportunities.
Proof of Concept
A working prototype on your data in 2–3 weeks — so you can validate the approach before committing to a full build.
Architecture & Design
Production architecture, model selection, prompt engineering strategy, and pipeline design — documented and approved.
Build & Iterate
Iterative 2-week sprints with measurable benchmarks. You see real accuracy improvements and cost reductions each cycle.
Deploy & Monitor
Production deployment with CI/CD, monitoring dashboards, alerting, cost tracking, and A/B testing infrastructure.
Optimise & Scale
Ongoing model tuning, prompt optimization, cost reduction, and scaling as your data and usage grow.
Why StackVise
AI Systems in Production
Real deployments handling real traffic — not just prototypes or Jupyter notebooks.
Avg. Time Savings
AI automation that measurably reduces manual work and accelerates business processes.
In-House Team
Every ML engineer, data scientist, and AI architect is a full-time StackVise team member.
Client Results
Real feedback from businesses we've helped automate and scale with AI.
StackVise built a RAG pipeline that lets our legal team query 50,000+ contracts in natural language. What took hours now takes seconds.
Vikram Sharma
CTO · LegalEdge
The AI chatbot handles 70% of our support tickets autonomously. Response quality is better than most human agents — and it works 24/7.
Priya Menon
VP Operations · FinServe
They fine-tuned a classification model on our dataset that outperforms GPT-4 at 1/10th the cost. Production-ready in 4 weeks.
Dr. Arjun Nair
Head of Data · MedInsight
Our product search went from keyword-based to semantic. Conversion rates jumped 28% in the first month after deployment.
Anisha Rao
Product Lead · StyleStack
The AI-powered document processing pipeline saves our team 30+ hours per week. ROI was positive within the first month of deployment.
Karan Malhotra
COO · DocuFlow
StackVise built a RAG pipeline that lets our legal team query 50,000+ contracts in natural language. What took hours now takes seconds.
Vikram Sharma
CTO · LegalEdge
The AI chatbot handles 70% of our support tickets autonomously. Response quality is better than most human agents — and it works 24/7.
Priya Menon
VP Operations · FinServe
They fine-tuned a classification model on our dataset that outperforms GPT-4 at 1/10th the cost. Production-ready in 4 weeks.
Dr. Arjun Nair
Head of Data · MedInsight
Our product search went from keyword-based to semantic. Conversion rates jumped 28% in the first month after deployment.
Anisha Rao
Product Lead · StyleStack
The AI-powered document processing pipeline saves our team 30+ hours per week. ROI was positive within the first month of deployment.
Karan Malhotra
COO · DocuFlow
FAQ
Common questions about AI projects and working with StackVise.
Let's Build Together
Tell us your use case — we'll come back with a clear AI strategy, proof-of-concept plan, and implementation roadmap.