Production-First Engineering
Every system we build is designed for production from day one — with CI/CD, monitoring, alerting, and observability baked in.
- Enterprise-grade architecture
- Zero-downtime deployments
- Full MLOps automation
We build production-ready AI systems — Voice AI Agents, Agentic Workflows, RAG Platforms, LLM Applications, Data Platforms, and MLOps Infrastructure that drive measurable ROI.
Trusted by teams at
Why Quantora Analytics
Most AI projects fail in the gap between prototype and production. We close that gap with battle-tested engineering, enterprise architecture, and hands-on delivery.
Every system we build is designed for production from day one — with CI/CD, monitoring, alerting, and observability baked in.
Deep expertise in FinTech, Healthcare, E-Commerce, Manufacturing, and Logistics — we understand your industry's unique AI challenges.
We align every engagement to concrete KPIs — revenue lift, cost reduction, or operational efficiency — with real-time dashboards proving ROI.
We use the latest AI frameworks — LangGraph, CrewAI, LlamaIndex, OpenAI, Anthropic — to build cutting-edge systems that stay ahead of the curve.
Hands-on collaboration with experienced AI engineers from strategy through deployment. We train your internal team to own the systems we build.
Flexible engagement models — fixed-scope projects, dedicated teams, or retainer-based ongoing partnerships. No surprises.
Our Services
From Generative AI and Voice Agents to MLOps and Data Engineering — we cover the full spectrum of enterprise AI without the endless experimentation loop.
Custom LLM products, enterprise copilots, and multimodal AI systems built with GPT-4o, Claude, and Llama.
Learn more →Low-latency intelligent voice systems with sub-300ms response time for customer service and sales automation.
Learn more →Enterprise knowledge bases with Retrieval-Augmented Generation, vector search, and semantic ranking.
Learn more →Multi-agent orchestration systems with LangGraph and CrewAI that autonomously handle complex enterprise tasks.
Learn more →Production ML/LLM infrastructure with automated pipelines, monitoring, drift detection, and CI/CD.
Learn more →Modern data platforms, lakehouse architectures, dbt modeling, and real-time streaming pipelines.
Learn more →Fine-tuning, LoRA, RLHF, prompt engineering, evaluation harnesses, and responsible AI frameworks.
Learn more →Quality inspection, defect detection, medical imaging, and real-time object detection at industrial scale.
Learn more →Predictive analytics, fraud detection, demand forecasting, churn prediction, and recommendation systems.
Learn more →Executive dashboards, self-serve analytics, KPI frameworks, and data-driven decision systems.
Learn more →Technology Stack
We partner with the world's best AI platforms to deliver cutting-edge, future-proof solutions.
AI Models & APIs
AI Frameworks
Vector & Data
MLOps & Infra
Cloud Platforms
Voice AI
Industries We Serve
We don't build generic AI. Every solution is engineered with deep domain understanding and industry-specific compliance requirements.
Fraud detection, risk scoring, algorithmic trading, customer churn prediction, and regulatory compliance automation.
Medical imaging AI, clinical NLP, drug discovery acceleration, patient outcome prediction, and EHR analytics.
Recommendation engines, demand forecasting, dynamic pricing, customer sentiment analysis, and inventory optimization.
Predictive maintenance, computer vision quality control, supply chain optimization, and production yield improvement.
Route optimization, demand sensing, autonomous dispatch systems, and real-time supply chain orchestration with AI agents.
Contract review automation, legal research AI, compliance monitoring, and document intelligence with RAG systems.
Case Studies
From autonomous agents handling thousands of calls to RAG systems powering enterprise knowledge — here are some of our production deployments.
Automated quality assurance for 10,000+ sales calls/month using GPT-4o with 94% audit accuracy, replacing 8 manual reviewers.
Multi-modal RAG system indexing 50,000+ research documents with semantic search, reducing research time by 70%.
Transformer-based fraud detection processing 1M+ transactions/day with -22% false positives and +27% recall improvement.
How We Work
Our 5-phase engagement model eliminates uncertainty and delivers working AI systems in 6–12 weeks, not 6–12 months.
We align on business outcomes, assess your data assets, audit infrastructure readiness, and map quick wins vs. foundational work in a structured workshop.
We define the AI architecture, model selection, infrastructure design, API contracts, and evaluation metrics before writing a single line of production code.
We build a lean working prototype, validate core AI capabilities against real data, and collect stakeholder feedback before scaling development.
Production-grade implementation with CI/CD pipelines, automated testing, monitoring dashboards, and zero-downtime deployment to your cloud of choice.
We document everything, train your team to operate and extend the system, and provide ongoing support to scale as your business grows.
Measured Impact
Every engagement is tied to a concrete KPI — revenue lift, cost reduction, risk mitigation, or operational efficiency — and our dashboards make results visible in real time.
See All ResultsClient Testimonials
★★★★★"Quantora Analytics built our entire RAG-based knowledge system from scratch. The team's expertise in LLMs and vector databases is exceptional. Deployed in 8 weeks, production-ready on day one."
★★★★★"The Voice AI agent Shashank built handles 2,000+ calls daily without issues. The quality audit system replaced our entire manual QA team. Incredible ROI within the first month."
★★★★★"Quantora's fraud detection model cut our false positives by 22% while improving recall. The MLOps setup they built has been running without intervention for 6+ months."
Why Trust Quantora
Meet the Founder
AI Systems Engineer · RAG Architect · Founder, Quantora Analytics
Shashank Pandey is an AI Systems Engineer with 4+ years of experience building production-grade Generative AI, Voice AI Agents, Agentic Workflows, and RAG systems for enterprise clients across India, the US, and globally.
From low-latency Voice AI calling agents handling 2,000+ calls/day to multi-agent orchestration systems processing complex enterprise workflows — Shashank focuses on AI that ships to production, not just demos.
Frequently Asked Questions
We specialize in Generative AI systems, Voice AI Agents, RAG (Retrieval-Augmented Generation) platforms, Agentic AI workflows, LLM development and fine-tuning, MLOps infrastructure, Data Engineering platforms, Computer Vision systems, and custom Machine Learning solutions for enterprise clients.
Most production AI systems are delivered in 6–12 weeks. A focused POC can be ready in 2–3 weeks. Large enterprise deployments with multiple integrations typically take 3–6 months. We follow a structured 5-phase delivery model that eliminates scope creep and ensures on-time delivery.
Yes. We provide 30 days of included post-deployment support for all projects. Extended support retainers (3, 6, or 12 months) are available that include model monitoring, drift detection, updates, and a dedicated Slack channel with guaranteed response within 24 hours.
We offer three engagement models: (1) Fixed-scope projects for well-defined deliverables, (2) Dedicated team model for ongoing product development, and (3) Monthly retainer for advisory, support, and continuous improvement. Pricing depends on scope and team composition — book a free 30-min consultation for a custom quote.
Yes. We offer structured AI internship programs of 3, 6, and 12-month durations. Interns work on real production projects covering Python, Machine Learning, Generative AI, LLMs, Voice AI, and MLOps. All programs include mentorship from Shashank Pandey, project certificates, and a letter of recommendation.
We serve FinTech & Banking, Healthcare & BioPharma, E-Commerce & Retail, Manufacturing, Logistics & Supply Chain, Legal & Compliance, and general enterprise technology companies. Each solution is engineered with domain-specific context and compliance requirements in mind.
Ready to build?
In a free 30-minute strategy call, we'll review your use case, identify the highest-impact AI opportunities, and outline a pragmatic 90-day roadmap — no commitment required.