We are proud to be an official partner of Anthropic, the company behind Claude.
LLM Customization & RAG
We adapt and fine-tune foundation models to your domain, implement Retrieval-Augmented Generation (RAG) for factual responses, and deliver production-ready pipelines.
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Deliverables
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Outcomes
SLA
Production Ready
Domain-adapted LLMs that deliver accurate, auditable outputs.
Domain-adapted LLMs that deliver accurate, auditable outputs. We adapt foundation models to your domain, implement RAG for factual responses, and deliver production-ready pipelines your teams can trust.
What you get
Domain-adapted LLMs that deliver accurate, auditable outputs.
Data curation
Fine-tuning / instruction tuning
RAG pipeline
Evaluation suite
Deployment artifacts
Problems we help you overcome
Hallucinations on domain-specific queries
Generic models produce confident but incorrect answers on proprietary terminology and internal knowledge bases.
Stale or incomplete knowledge
Foundation models lack access to your latest documents, policies, and product data without a retrieval layer.
No evaluation framework
Teams cannot measure accuracy, latency, or cost before committing to production deployment.
What we bring to the table
Domain fine-tuning
Instruction tuning and adapter-based fine-tuning tailored to your vocabulary and use cases.
Production RAG pipelines
Chunking, embedding, retrieval, and re-ranking pipelines with observability built in.
Evaluation & benchmarking
Automated test suites with golden datasets to track accuracy and regression over time.
Deployment artifacts
Containerized serving endpoints, API specs, and runbooks for your ops team.
Industries We Serve
Healthcare & Life Sciences
Clinical NLP, coding automation, triage assistants (HIPAA-ready).
Financial Services
Fraud detection, automated underwriting, compliance monitoring.
Legal & Compliance
Contract review, e-discovery, regulatory tracking.
Retail & E-commerce
Personalization, search, conversational commerce.
Manufacturing & Industrial
Predictive maintenance, CV inspection, supply-chain optimization.
Telecom & Edge
Customer automation, low-latency on-device inference.
Cybersecurity
Threat detection, SOC automation.
Public Sector & Energy
Document automation, forecasting, citizen services.
Pricing & Engagements
Discovery & Assessment
Fixed-fee 1–2 week assessment with roadmap.
POC-to-Pilot
Fixed-scope 2–6 week POC, includes data prep, prototype model, and success criteria.
Production & Managed Services
Subscription for hosting, monitoring, retraining, and support (SLA options).
Professional Services
Time-and-materials or outcome-based pricing for custom work.
Measurable impact
Measurable business impact from this engagement.
Improved accuracy on domain tasks
Reduced human review time
Predictable inference costs
Frequently asked questions
How long does a typical LLM customization POC take?
Most POCs run 2–4 weeks including data curation, RAG setup, and an evaluation baseline against your success criteria.
Do you support both open-source and commercial LLMs?
Yes. We work with Llama, Mistral, GPT-class APIs, and enterprise-hosted models depending on your compliance and cost requirements.
How do you prevent hallucinations in production?
We combine RAG grounding, citation tracking, confidence thresholds, and human-in-the-loop review for high-risk outputs.
Case Study
Problem
A regulated enterprise needed domain-accurate LLM responses without exposing sensitive data to public APIs.
Solution
LLM Customization & RAG, MLOps & ModelOps, Responsible AI & Governance
Outcome
40% reduction in human review time, 99.2% factual accuracy on domain tasks, and predictable inference costs within 90 days.
Ready to deploy with confidence?
We adapt and fine-tune foundation models to your domain, implement Retrieval-Augmented Generation (RAG) for factual responses, and deliver production-ready pipelines.
More AI Services
Why Choose Us
- ✓ Industry focus + measurable outcomes: domain models with validated ROI metrics.
- ✓ POC-to-production playbook: repeatable 2–6 week POC that moves to production fast.
- ✓ SLA-backed production support: uptime, latency, and retraining SLAs.
- ✓ Compliance-first: HIPAA/GDPR/PCI-ready architectures and audited pipelines.