Services
Custom training of language models on proprietary, specialized corporate corpuses such as legal precedents, biochemical literature, or proprietary codebases to deliver higher accuracy and dramatically reduced hallucination rates. Sub-services include custom LLM pre-training for legal services, medical DSLM development from clinical texts, financial services proprietary language modeling, and custom coding model development.
Full-scale training of language models from scratch on your proprietary corpus, delivering a foundational model with deep domain understanding that outperforms generic models on specialized tasks.
Specialized adaptation of open-source or proprietary foundation models (like Llama 3 or Mistral) using your domain data to achieve high accuracy for specific tasks like contract analysis or clinical note generation.
Training of language models on your private code repositories to build intelligent coding assistants that understand your unique libraries, frameworks, and architectural patterns for superior code generation and review.
Development of domain-specific language models for highly regulated sectors (finance, healthcare, legal) with built-in compliance guardrails, audit trails, and bias mitigation to meet strict regulatory standards like HIPAA and FINRA.
Training language models on domain corpora across multiple languages to create globally consistent AI that understands technical jargon and cultural nuances in markets like EMEA and APAC.
Specialized training of language models to understand and interact with legacy system documentation, mainframe outputs, and proprietary data formats, bridging the gap between old systems and modern AI interfaces.
End-to-end training of domain-specific models within secure, air-gapped environments or using confidential computing (TEEs) for clients in defense, intelligence, and proprietary R&D where data cannot leave the premises.
Creation of high-fidelity, privacy-preserving synthetic datasets to augment scarce or sensitive domain data, enabling robust model training while complying with data sovereignty and privacy regulations.
Engineering of automated, MLOps-driven pipelines for the ongoing retraining and evaluation of domain-specific models as new data arrives, ensuring model performance degrades and knowledge stays current.
Rigorous, standardized evaluation of domain-specific language models against custom metrics and real-world tasks to quantify accuracy, hallucination rates, and ROI before full-scale deployment.
How We Work
One-fit-all AI don't work for modern businesses. At Inferensys, we aim to understand your business & custom requirements; which we use to define most efficient agentic workflows, the data, and the tools for your business.
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We understand the task, the users, and where AI can actually help.
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We define what needs search, automation, or product integration.
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We implement the part that proves the value first.
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We add the checks and visibility needed to keep it useful.
Read moreThe first call is a practical review of your use case and the right next step.
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