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Explore solutionAgentic workflows & tool use
Multistep tasks, IT ticket resolutions, software engineering workflows, tool calls, action traces, and observed completion evidence.
Data typesThe right format.
The right format.
The right context.
The right to use it.
An overview of the kinds of datasets Calvek AI can explore sourcing. These are potential acquisition categories, not a claim of in-stock inventory or confirmed licenses.
01 / Dataset categories
Data beyond the ordinary.
We work from the model objective backward, considering data owners, collection strategies, schema, rights, and delivery requirements.
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Explore solutionEnterprise documents & processes
Forms, standard operating procedures, approval chains, operational logs, document understanding examples, and back-office scenarios.
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Explore solutionConversation & customer interactions
Permitted customer-service dialogues, escalations, issue-resolution sequences, and support knowledge artifacts.
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Explore solutionImage, video & multimodal
Image collections, activity video, audio-visual pairs, captioning tasks, and scene-context datasets where appropriate.
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Explore solutionAudio, speech & language
Speech samples, multilingual dialogues, domain-specific terminology, transcription and conversational audio workflows.
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Explore solutionEvaluation, red-team & edge cases
Specialist examples, high-difficulty scenarios, response scoring tasks, and verifiable outcome datasets.
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Explore solutionFinance & operations
Reconciliation workflows, transaction exception scenarios, policy-driven business processes, and related documents with necessary protections.
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Explore solutionFrontline commerce & hospitality
Inventory cycles, scheduling decisions, order handling, vendor workflows, and service operations, subject to source rights.
02 / Your data specification
What helps us assess a request quickly.
A specific requirement increases the chance of a useful sourcing route and realistic pilot proposal.
You do not need a perfect specification. If you have a model pain point and a rough idea of examples that would improve it, we can work through the questions.
Use caseTraining, fine-tuning, grounding, evaluation, or agent task learning.
Desired dataModality, subject area, unit of data, and any format examples.
Must-have coverageDomains, languages, edge cases, jurisdictions, environments, outcomes.
Quality barCompleteness, correctness, traceability, human review, label conventions.
Commercial rulesPermitted use, exclusivity needs, rights constraints, budget, timeline.
Not seeing your category?
Explore a custom requestOur sourcing model is intended for less-common requests as well. We assess supplier access, licensing options, and practical execution before confirming a project.
Start a conversation
Discuss a data needDescribe the missing data, not just the file type.
The most valuable requirements often describe a behavior, a judgment, or an outcome the model has not learned well.