Pricing
All Bhavitech pricing is requirement-based. We scope each engagement around the systems, workflows, artifacts, and implementation depth needed for your use case.
AI Data Pricing
AI data engagements are scoped based on the artifact mix, delivery volume, metadata requirements, and how much relationship structure needs to be preserved across the dataset.
Artifact Type
Codebases, JIRA exports, communication threads, Figma files, BRDs, and postmortems each require different sourcing and review effort.
Volume & Quality Bar
Pricing depends on the size of the dataset, the quality filters applied, and whether you need one-time delivery or ongoing batches.
Linking & Structure
Single artifacts are simpler. Cross-artifact linking, metadata enrichment, and relationship preservation require more curation.
AI for Enterprise Pricing
Enterprise AI projects are priced according to the business use case, integration depth, rollout constraints, and the level of control required for production use.
Use Case & Business Scope
Enterprise AI projects are priced based on the workflows involved, the business complexity, and the outcomes you want to achieve.
Systems & Integration Depth
The number of internal systems, APIs, knowledge sources, permissions, and automation steps affects implementation effort.
Controls, Rollout, and Support
Security requirements, human review, rollout stages, observability, and ongoing support all influence pricing.
Request a Quote
Tell us whether you need AI data, AI for Enterprise, or both. We'll scope the engagement around your requirements and share the right pricing model.
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We price around actual scope rather than publish flat fees, because dataset composition, system complexity, rollout models, and support expectations vary significantly from one engagement to another.
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