Services
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Domain-Specific LLMs for Business
Design, deployment, and fine-tuning of large language models tailored to your industry, data, and compliance requirements.
Domain-Specific LLMs for Business
We design and deploy large language models tailored to your industry, data, and processes. Compared to generic LLMs, our domain‑specific models understand your terminology, regulations, and workflows, delivering higher accuracy, fewer hallucinations, and more actionable outputs at a lower total cost of ownership. Your data remains protected: models are trained and hosted in secure, isolated environments that comply with your confidentiality and governance requirements. We also embed case‑based reasoning, allowing the LLM to learn from your past projects, tickets, documents, and decisions. This turns your accumulated experience into a reusable knowledge asset that consistently supports everyday operations and strategic decisions.
Workflow
why we?
Business-first delivery
Business-first delivery
We start from measurable business outcomes - we figure out clear use cases, define success metrics, and adoption criteria—before choosing the appropriate LLM architecture.
Domain adaptation
Domain adaptation
We tailor LLM behavior to your domain using the right mix of retrieval-augmented generation (RAG), fine-tuning, tool use, and workflow-aware prompting
Data excellence as a core impact factor
Data excellence as a core impact factor
We build robust pipelines for data curation, labeling, knowledge structuring, and “golden set” creation to ensure your model learns from the right sources.
Evaluation-driven engineering
Evaluation-driven engineering
We implement automated and human-in-the-loop evaluation to track accuracy, hallucinations, groundedness, and business KPIs - so improvements are provable, not subjective.
Enterprise security by design
Enterprise security by design
We support secure deployment patterns (VPC/on-prem/hybrid), access control (RBAC/SSO), encryption, and privacy controls (e.g., PII handling) aligned with enterprise requirements. We implement policy and safety controls to reduce risk, including prompt injection defenses, content constraints, and reliable refusal behavior.
LLMOps for continuous improvement
LLMOps for continuous improvement
We set up monitoring, user feedback loops, and safe iteration cycles - so performance improves over time without disrupting operations.