Pricing
Flexible pricing for every scale
Transparent, project-based pricing — from a quick proof-of-concept to a fully managed, production AI system. Every tier ends with a conversation, so you only pay for what you need.
Starter
For startups & proof-of-concepts
- Dataset consultation & sourcing plan
- Up to 5k annotations or a focused PoC
- Single model fine-tune / baseline
- Quality assessment report
- Email support
Pro
For teams shipping to production
- Everything in Starter
- Large-scale annotation + synthetic data
- Custom model development & tuning
- MLOps pipeline (CI/CD + monitoring)
- Cloud or edge deployment
- Priority support & weekly syncs
Enterprise
For mission-critical AI at scale
- Everything in Pro
- Dedicated project manager & team
- On-prem / private-cloud deployment
- SLAs, security & compliance reviews
- Ongoing retraining & optimisation
- NDA & data-governance support
Need something tailored?
Unique data, regulated industry, or a research collaboration — we'll craft a bespoke engagement.
FAQ
Frequently asked questions
How is pricing determined?
Every engagement is scoped to your goals, data volume and complexity. After a short discovery call we send a fixed-scope quote — no surprises.
Do you offer ongoing retainers?
Yes. Many clients move to a monthly retainer for continuous dataset growth, model retraining and MLOps monitoring once their first project ships.
Who owns the data and models?
You do. All datasets, trained models and code we produce are delivered to you with full ownership. We can sign an NDA before any data is shared.
Can you work with our existing stack?
Absolutely. We integrate with your cloud (AWS/GCP/Azure), tooling (MLflow, W&B, DVC) and workflows rather than forcing a rewrite.
How do we get started?
Click any "Contact / Get a Quote" button, tell us about your project, and we'll reply by email to schedule a free consultation.