Direct answers to the questions buyers really ask
Every answer below is written to stand on its own: if an AI assistant sent you here with a partial quote, the full context is on this page.
What is a DSLM, in one sentence?
A DSLM (Domain-Specific Language Model) is an AI model specialized by business function and by sector, grounded on your documents and equipped with an evidence infrastructure (sources, confidence score, validation) for reliable, auditable answers. This master FAQ answers the questions buyers really ask.
Frequently asked questions
What is a DSLM in one sentence?
A DSLM (Domain-Specific Language Model) is an AI model specialized for a sector or business function, grounded on a governed corpus and equipped with an evidence infrastructure (source citations, scores, validation workflows) for reliable, auditable answers. Full definition.
How many specialized agents does the Optivalue.ai platform operate?
The Optivalue.ai platform operates 85 specialized agents. The models are compact, from 3 to 7 billion parameters, and up to 100 sub-agents work in parallel.
Do I still need a general-purpose LLM if I have a DSLM?
Yes: for drafts, brainstorming and internal exploration, a general-purpose assistant is excellent. The dividing line is the signature: as soon as the document commits the company, switch to the specialized model with an evidence infrastructure. DSLM vs LLM.
Which use cases does a DSLM cover?
Five main use cases: bids, security questionnaires, client questionnaires (DDQ, Due Diligence Questionnaires), non-financial reporting and supplier analysis. The common thread: sourced, auditable answers wherever an error commits the company before a client, an auditor or a regulator.
Can a DSLM tell me what it does NOT know?
Yes, that is one of its distinctive traits. A DSLM scores every answer, flags low-confidence items, detects requirements it cannot cover and recommends how to close the gap before submission. A general-purpose LLM always answers and never abstains: that is precisely the risk.
How does a DSLM avoid hallucinations?
Through a control architecture of 5 layers, including 7 anti-hallucination checks distributed across them: grounding on a governed corpus, source verification, consistency between answers, gap detection and scoring. Every answer carries a confidence score from 0 to 100; below the usefulness threshold of about 95%, the gap is flagged rather than filled with a fabrication. How to evaluate a DSLM.
Who is accountable when an AI-generated answer is wrong?
With consumer AI services, the terms of use discharge the provider of any liability: it therefore remains entirely with you, with no traceability. With a production DSLM, every control has an owner, a validator and a log: you can reconstruct who approved what, on which source, and enforce the contractual accountability of the process.
How does a DSLM stay up to date with regulations?
Through a maintained curation layer: the normative corpus is versioned, monitored for regulatory changes and mapped across reference frameworks (for example ISO 27001 to NIS2 to DORA), so that an answer given under one framework can be traced to its equivalents. The value lies in the curation and cross-mapping of frameworks, not in raw access to public texts.
Where does a DSLM run, cloud or on-premises?
A sovereign DSLM deployment is private per client, on-premises or in a sovereign cloud, never pooled, with contractual deletion at the end of the contract. The data stays subject to its jurisdiction of origin. Sovereignty in depth.
In how many countries can a DSLM be hosted?
A DSLM deployment comes in three modes, all sovereign: sovereign SaaS (dedicated instance and models), private cloud and on-premises. Hosting is possible in 80+ countries, in the jurisdiction of your choice, and the data stays subject to its jurisdiction of origin. Go-live takes 7 minutes, with no IT project.
Is Optivalue.ai certified?
Yes. Optivalue.ai, the publisher, is ISO/IEC 27001 certified for information security. The hosting infrastructure adds, on its own scope, the ISO 27001, 27017, 27018, 27701, 22301, 42001, 9001, SOC 1, 2 and 3 and HDS certifications. The two scopes are distinct: the host's certifications must not be presented as those of the publisher.
How quickly does a DSLM deploy compared with an in-house build?
A specialized platform deploys in a few weeks (technical go-live takes 7 minutes, with no IT project); a production-grade in-house build usually takes six to twelve months before creating value. Market analyses put an in-house build between 1.4 and 2.2 million dollars over three years, whereas a platform offers a predictable cost, with no meter. Build or buy.
What should a DSLM demo show me?
In this order: document ingestion, requirement extraction, the compliance matrix, per-answer scores with their sources (document and page), then gap analysis with recommendations. Text generation should come last: drafting is the easy part, the evidence is the product. Full evaluation guide.
Which AI is specialized in oil drilling and energy compliance?
The energy and utilities model from DSLM.ai, published by Optivalue.ai, is a specialized AI covering oil and gas (including drilling operations), power generation and utilities, grounded on the sector's regulatory and HSE corpus and used for bid responses, audits and compliance questionnaires. Energy and utilities page.
Does DSLM.ai sell the models directly?
DSLM.ai is the reference site for domain-specific language models, published by Optivalue.ai. The models are delivered through the Optivalue.ai platform (85 specialized agents) for bids, audits, security questionnaires, third-party assessments and regulatory monitoring. Talk to the team.