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Fine‑Tune AI Models on Your Proprietary Data
Generic models can't speak your domain language. PipeIQ fine‑tunes foundation and open‑source models—on‑prem or in your cloud—using secure pipelines that preserve IP and compliance.

Why Off‑the‑Shelf Models Fall Short

Out‑of‑box LLMs and vision models don't understand your product names, regulations, or jargon—and SaaS APIs raise data‑sovereignty concerns.

Terminology Issues

Hallucinations on industry‑specific terminology

Low Accuracy

Low accuracy extracting custom entities & KPIs

Privacy Risk

Privacy and IP risk sending data to third‑party APIs

Cost Escalation

Token costs balloon without domain compression

Fine‑Tuning in Action

📑

Contract Clause Extraction

Fine‑tuned Llama‑3 model tags obligations & risks with 98% F1—no external calls.

💊

Clinical Note Summaries

HIPAA‑isolated DBRX model summarises SOAP notes using hospital terminology.

🏭

Sensor Anomaly Chat

RAG + fine‑tuned Mistral explains vibration anomalies in plant‑specific language.

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Search Relevance Boost

Custom embeddings model improves top‑3 product search clicks by 27%.

Secure Fine‑Tuning Pipeline

Our secure fine-tuning pipeline ensures your proprietary data stays protected while creating models that understand your domain-specific language and requirements.

1

Data Curation

LakeFlow or Airflow pipelines label & de‑identify text, images, or tabular data.

2

Training & Eval

PEFT / LoRA or full fine‑tuning on Databricks GPUs; hidden eval suites check accuracy, bias, cost.

3

Deployment & Drift

Models served via MLflow or SageMaker; dashboards track drift, latency, & spend with auto‑rollback.

PipeIQ Fine‑Tuning Services

  • Data Quality Audit — Label density, PII scanning, and augmentation strategy
  • Model Selection & Strategy — Compare Open‑weight (Llama, Mistral) vs commercial (OpenAI, Cohere) trade‑offs
  • PEFT / LoRA Tuning — Efficient adapter layers cut GPU hours by 80%
  • Evaluation & Guardrails — Custom metrics, hallucination tests, and safety filters wired into CI/CD
  • On‑Prem / VPC Deployment — Serve models behind your firewall—no data egress
  • Ongoing Optimisation — Active‑learning loops, distillation, and quantisation for cost control

Make Models Fluent in Your Domain

Schedule a discovery call to craft a fine‑tuning roadmap and unlock proprietary value.

© 2025 PipeIQ — Custom AI Partner.
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