Human-validated training data | Pilot-to-scale delivery | Multimodal coverage

Josisoft Technologies

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SUPERVISED FINE-TUNING DATA

Human-Curated Demonstrations for Model Fine-Tuning.

Fine-tuning data teaches a model how a high-quality response should look for a specific task, domain, or instruction style. Josisoft builds supervised fine-tuning workflows around your prompt schema, target behavior, response format, domain requirements, acceptance criteria, and QA process so each example provides a clear, consistent demonstration of the behavior you want the model to learn.

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SUPERVISED DATA OPERATIONS

Core Fine-Tuning Data Capabilities

Instruction-Response Pair Creation

End-to-end authoring of single-turn instruction and target response pairs demonstrating ideal task execution, reasoning depth, tone, and conciseness for foundational model fine-tuning.

Multi-Turn Conversational Dialogue SFT

Multi-turn conversational dataset authoring designed to train chat models on contextual memory retention, persona consistency, clarification behaviors, and natural back-and-forth dialogue flows.

Agentic Workflows & Tool-Use Trajectories

Multi-step training demonstrations teaching models how to identify intent, formulate valid API calls and JSON arguments, and parse execution responses to accomplish complex tasks.

Code Generation & Technical SFT

High-precision programming demonstrations covering end-to-end software development, unit test creation, code translation, debugging, and SQL generation authored by vetted software engineers.

Domain-Expert Technical Demonstrations

High-complexity training pairs authored and validated by credentialed subject-matter experts across medicine, law, finance, and engineering for enterprise vertical models.

Long-Context & Document-Grounded SFT

Instruction pairs built over long-form reference materials—including financial filings, technical manuals, and legal briefs—teaching models factual extraction, synthesis, and grounded reasoning without hallucination.

Response Rewriting & Data Refinement

Human-in-the-loop editing and upgrading of weak, incomplete, or synthetic model drafts into publishable, gold-standard reference demonstrations.

FLEXIBLE DELIVERY

Tooling & Platform-Agnostic Execution

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Client-Hosted Data Platforms

Our teams can work directly inside client-approved environments supporting instruction-response creation, editing, structured fields, reviewer feedback, task routing, and QA workflows.

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Proprietary Client Consoles

Contributors and reviewers can operate within client-owned fine-tuning data systems through approved secure access, following your task templates, response schema, style guide, domain instructions, quality checks, and review stages.

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Josisoft Managed SFT Workspaces

When no production environment is available, we can configure controlled project workspaces around your prompt sets, target behaviors, response templates, contributor roles, reviewer roles, and QA/adjudication stages.

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DEPLOYED CONTEXT

Real-World Supervised Fine-Tuning Applications

General-Purpose Assistant Behavior

Create instruction-following demonstrations for summarization, rewriting, extraction, explanation, transformation, classification, and other general language tasks.

Domain-Specific AI Assistants

Build curated examples using domain terminology, workflows, context, and structured outputs for enterprise or specialized assistant use cases.

Customer Support & Operational Workflows

Create demonstrations for issue summarization, response drafting, next-action recommendations, ticket classification, troubleshooting, and structured service workflows.

Structured & Tool-Oriented Model Tasks

Create training examples where models must produce structured outputs, follow schemas, select actions, format data, or generate consistent machine-readable responses.

CONTROLLED OPERATIONS

Security, Compliance & Workforce Governance

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Mandatory Bilateral NDAs

Every annotator, QA reviewer, and project manager signs an NDA before accessing project assets.

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Security & Clean-Room Training

Personnel are trained on data confidentiality: strict restrictions on screen sharing, zero tolerance for screen recording or screenshots, and supervised session management.

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Governed Physical Delivery Hub

On-premise operations at our central Durgapur facility enforce controlled local networks, restricted USB and removable media ports, and supervised work environments.

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Isolated Hybrid Pods

Each client is assigned a dedicated team working in siloed environments, preventing cross-project data contamination and maintaining domain context.

START A PROJECT

Start With a Calibrated SFT Data Pilot.

Share a representative task set, prompt format, target response behavior, output schema, style requirements, and QA criteria with our delivery team. We will calibrate contributor guidelines, create a controlled pilot batch, review difficult examples and consistency issues, and return the sample for acceptance before production scaling.

Request a Pilot Batch