Innovation & Engineering
LLM Integrations
Leverage the power of Large Language Models without compromising on data security. We build, fine-tune, and integrate custom LLM solutions tailored to your proprietary data and business needs.
OWASP Top 10 for LLMs NIST AI RMF
Outcomes
What you get
Private LLM deployment and fine-tuning
Retrieval-Augmented Generation (RAG) pipelines
Secure data handling and PII masking
Prompt engineering and guardrail implementation
Methodology
How the engagement runs
01
Assess
Identify use cases and data availability.
02
Architecture
Design a secure, scalable inference pipeline.
03
Integrate
Connect models to your data securely (RAG).
04
Harden
Apply safety guardrails and access controls.
Deliverables
What lands in your inbox
- Deployed LLM service
- Data ingestion pipeline
- Security & risk assessment
- API documentation
FAQ
Frequently asked
Is our data used to train public models?
No. We deploy models in private environments (VPC/on-premise) ensuring your data never leaves your control.
Need llm integrations?
Prove both before launch.
Bring us your app, audit deadline, or security concern. We'll map the fastest path to WCAG conformance, VAPT coverage, and regulator-ready evidence.
