LLM integration
GPT-4, Claude, Gemini and open-source models plugged into your product — streaming, function calling and guardrails baked in.
AI · Machine Learning · Agents · Ranchi & Delhi
AI & Machine Learning Company in Ranchi & Delhi
LLM integrations, RAG pipelines, custom machine learning models, computer vision and agentic workflows — engineered from our Ranchi (Jharkhand) and New Delhi studios for Indian, US, UK, Canada and Australia clients since 2015. Cost monitoring, data security, MLOps and observability are baked in from day one.
📍 Ranchi · Jharkhand📍 New Delhi · NCR🌐 Serving US · UK · CA · AU
LLM providers we integrate
OpenAIAnthropic ClaudeGoogle GeminiMeta LlamaMistralCoherePerplexityxAI
11+
Years shipping from Ranchi & Delhi
8
LLM providers integrated
12+
ML models in production
5
Countries served (IN · US · UK · CA · AU)
What we build
Eight AI & ML capability areas, one engineering team
Every engagement draws from the same stack — Python, TypeScript, modern LLM APIs, classical ML frameworks (scikit-learn, XGBoost), deep learning (PyTorch, TensorFlow), vector stores and observability tooling. Pick a capability, scale into the rest.
RAG pipelines
Retrieval-augmented generation with pgvector, Pinecone or Weaviate — secure, versioned and monitored.
Custom agents
Multi-step AI agents with tool use, memory and human-in-the-loop on LangGraph or custom orchestration.
Computer vision
Image classification, object detection, OCR and video understanding — deployed to edge or cloud.
Predictive ML models
Forecasting, churn prediction, recommendation engines, risk scoring and anomaly detection on real product data.
Custom ML training
Data pipelines, feature engineering, model training, hyperparameter tuning and fine-tuned models — classical ML and deep learning both.
MLOps & deployment
CI/CD for models, experiment tracking with MLflow or Weights & Biases, monitoring, drift detection and automated retraining.
AI-powered automation
Document processing, email triage, data extraction and agentic workflows that actually run in production.
Local teams
AI & ML teams in Ranchi and Delhi
Web Accuracy is one of the longest-established AI and ML development companies in both Ranchi and Delhi. Dedicated in-house senior engineers work from each studio — not freelancer marketplaces — so you get continuity, quality and on-site availability for discovery and milestone reviews.
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AI & ML Development in Ranchi
Our Ranchi studio (Jharkhand) is the longest-standing AI and machine learning team in the state. Specialists in LLM integration, RAG pipelines, computer vision and classical ML. Serving startups, SMBs and enterprises across Jharkhand, Bihar, Odisha, West Bengal and beyond — plus global clients on overlap shifts.
Ranchi coverage: Jamshedpur, Dhanbad, Bokaro, Patna, Kolkata on-site on request.
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AI & ML Development in Delhi
Our New Delhi office runs a dedicated AI pod covering generative AI, agentic workflows, MLOps and enterprise AI strategy. Serving the NCR startup scene — Gurgaon, Noida, Faridabad, Ghaziabad — plus Fortune-500 Indian enterprises and international clients.
Delhi NCR coverage: Gurgaon, Noida, Greater Noida, Faridabad, Ghaziabad, Meerut on-site on request.
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Global AI engagements
Around 45% of our AI and ML book is international. Overlapping hours with US Eastern, Pacific, UK, Canada and Australia. English-first communication, invoicing in USD / GBP / CAD / AUD, NDAs as standard, deployment to your own AWS / GCP / Azure account if required.
Remote shift coverage: US-EST, US-PST, UK GMT, AEST available on request.
Machine learning
Classical ML, deep learning and everything between
Machine learning is not one technique. We work across the full spectrum — classical supervised learning (scikit-learn, XGBoost, LightGBM) for tabular data, deep learning (PyTorch, TensorFlow) for vision and language, and unsupervised methods (clustering, anomaly detection) for exploratory work.
Typical ML projects we have shipped: churn prediction, credit risk scoring, product recommendation, demand forecasting, fraud detection, document classification, image moderation, semantic search and multi-modal product discovery.
MLOps & deployment
Models that ship, monitor and retrain themselves
We treat ML models the same way we treat web services — versioned, tested, observed and continuously deployed. Every model ships with experiment tracking, a model registry, drift monitoring and a retraining schedule.
Stack: MLflow or Weights & Biases for experiments, DVC or Git LFS for data, SageMaker / Vertex AI / Modal for training and serving, and Prometheus or Grafana for monitoring. Deployed to your cloud account or a managed endpoint — your choice.
train · deploy · monitor · retrain
Automation & agents
AI agents that actually ship to production
Multi-step agents with tool use, memory, human-in-the-loop gates and full observability. We build on LangGraph, CrewAI or custom orchestration depending on what fits your product, and we never skip guardrails, evals or cost tracking.
Common agent use cases we have shipped: support-ticket triage, email drafting, document extraction, code review assistants, CRM enrichment, and knowledge-base question answering with citations.
Human × AI collaboration
How we ship AI
Four phases, zero slideware
We do not charge for discovery decks or strategy PDFs. Every engagement ends in shipped code you own and run.
Discovery
One-week scoping sprint — data audit, model selection, integration map and success metrics.
Prototype
Working end-to-end prototype in 2 weeks. Real API, real data, real cost benchmarks — not a demo deck.
Production
Observability, cost controls, guardrails, evals and CI/CD. Deployed to your cloud or ours.
Iterate
Weekly retainer. Prompt tuning, model upgrades, feature additions and ongoing evaluation.
FAQ
Frequently asked
Where is Web Accuracy AI and ML team based?
Our core AI and ML engineering team operates from two Indian studios — Ranchi (Jharkhand) and New Delhi — with overlapping hours for US, UK, Canada and Australia clients. Hybrid on-site + remote is standard; full-remote is available.
Can I hire AI developers in Ranchi or Delhi?
Yes. Web Accuracy maintains senior AI / ML teams in both Ranchi and Delhi — specialists in LLM integration, RAG pipelines, agentic workflows, computer vision and classical ML. Hire a dedicated Ranchi or Delhi-based AI engineer from ₹60,000/month on retainer, or engage us for a fixed-scope AI project from ₹1,25,000. On-site visits to either office are welcomed for discovery and milestone reviews.
Do you serve AI and ML clients outside India?
Yes. Around 45% of our AI and ML engagements are with clients in the United States, United Kingdom, Canada, Australia and the EU. We run overlapping hours with major western time zones and invoice in USD, GBP, CAD or AUD.
Can you integrate GPT-4, Claude or Gemini into my existing product?
Yes. We build secure LLM integrations with streaming, RAG, tool use, guardrails and cost monitoring. We support OpenAI, Anthropic, Google Gemini and open-source stacks like Llama and Mistral.
Do you build custom ML models or only integrate existing APIs?
Both. For most products, LLM API integration is faster and cheaper. When the workload needs it, we train custom machine learning models — classical ML with scikit-learn or XGBoost, deep learning with PyTorch or TensorFlow, computer vision on YOLO / Detectron / CLIP.
What does your MLOps pipeline look like?
Versioned data in DVC or Git LFS, experiment tracking with MLflow or Weights & Biases, model registry with model cards, CI/CD for training and serving, drift detection and scheduled retraining. Deployed to SageMaker, Vertex AI, Modal or your own Kubernetes.
Can you help with machine learning for my specific industry?
Yes — we have shipped ML for legal (document extraction), e-commerce (recommendation and search), fintech (risk scoring, fraud detection), SaaS (churn prediction) and healthcare-adjacent (image moderation). We start by auditing your data and picking a technique that fits the problem, not the other way around.
How do you control AI and ML costs in production?
Token budgeting for LLMs, prompt caching, model routing (cheap models for simple tasks, premium for hard ones). For ML workloads: spot instances for training, autoscaling inference endpoints, and batch vs streaming trade-offs. Usage dashboards and alerting on every engagement.
Is my data safe when you build AI and ML features?
Yes. We use zero-retention endpoints where available, deploy in your cloud account when required, and follow GDPR-aligned data handling. Your data never trains third-party models without explicit consent.
Can you build agentic AI workflows?
Yes. We design multi-step agents with planning, tool use, memory, human-in-the-loop gates and observability — on frameworks like LangGraph, CrewAI or from-scratch orchestration.
What does an AI or ML engagement cost?
Hourly rates for AI and ML engineers start at $20/hr and scale to $50/hr for senior specialists. Fixed-scope projects start at ₹1,25,000 for a focused integration, ₹3–10 lakh for a custom ML model with full MLOps. See /pricing for productised packages.
Web Accuracy is a digital product agency from Delhi & Ranchi,
building web, mobile, UI/UX, AI/ML and AR/VR solutions
for Indian businesses and global clients since 2015.
+91 85399 23343
