Runestone
Start a Project
Runestone designs, builds, and operates intelligent systems — LLM agents, RAG pipelines, and classical ML — that deliver measurable business impact.
data stack
GPT · Claude · Llama · Mistral
LangChain · LlamaIndex · DSPy
Pinecone · Weaviate · pgvector
MLflow · SageMaker · Vertex AI
End-to-end capabilities delivered by senior specialists.
Build production-grade AI agents that reason, use tools, and safely automate real workflows.
Turn your docs, wikis, and databases into intelligent search and Q&A experiences.
Regression, classification, clustering, and time-series — deployed with proper ML ops.
End-to-end lifecycle management: training, deployment, monitoring, and rollback.
Object detection, OCR, quality inspection, and visual search — on cloud or edge.
Text classification, sentiment, extraction, translation, and voice interfaces.
Clinical decision support, radiology triage, and patient chatbots.
Fraud detection, credit scoring, and financial copilots.
Personalization, demand forecasting, and visual search.
Predictive maintenance, quality inspection, and process optimization.
Identify the highest-ROI use case and define success metrics.
Build a POC in 2–4 weeks to validate feasibility with real data.
Harden the pipeline: MLOps, monitoring, evaluation, guardrails.
Continuous improvement based on production feedback and metrics.
Real-time transaction fraud detection using gradient-boosted models and streaming features.
45% fraud reduction, $12M annual savings.
A grounded AI copilot for a 5,000-employee enterprise, answering internal policy questions.
80% reduction in HR/IT support tickets.
Product recommendation system for a top-10 e-commerce brand.
18% conversion lift, 22% higher AOV.
A 2–3 week engagement to identify use cases and build a business case.
Prototype your top use case, then productionize with full ML ops.
A dedicated AI/ML squad embedded with your team, iterating on models continuously.
Our team combines PhD-level research depth with production engineering experience. We've deployed models handling billions of predictions across fintech, healthcare, retail, and industrial workloads.
We're pragmatic — the best model is the one that ships, monitors well, and delivers measurable business impact.
To help teams move from AI experiments to production impact — reliably, safely, and at scale.
It depends entirely on the problem. Structured prediction with lots of labeled data usually favors classical ML. Reasoning, summarization, or few-shot tasks favor LLMs. We often blend both.
No. Many high-value use cases work with foundation models and RAG on your existing docs. We help identify what's achievable with what you have.
We use guardrails, retrieval grounding, structured output constraints, and continuous eval to catch and prevent regressions.
Yes — we integrate with Snowflake, Databricks, BigQuery, and any data lakes or warehouses you already have.
Share a few details — we typically respond within 24 hours.
info@runestone.in
+91 9499086786
Within 24 hours
Chennai — 32, India