AI & Machine Learning.
AI is only useful when it changes a number on your dashboard. We help product and engineering teams move past the demo: from picking the right approach to wiring in the testing, guardrails, and grounding that make a system your customers actually use.
- Capabilities
- 10
- Stages
- 04
- Outcomes
- 03
AI & Machine Learning
Making it easy for you and your customers, through advancement.
Three moves that anchor every engagement, from the first conversation through steady-state operation.
AI Agents
Tool-calling agents that automate operational work, with audit logs, human-in-the-loop checkpoints, and rollback paths.
AI Consulting
From use-case shortlists to vendor selection, strategy work that ends with a roadmap, not a deck.
AI Workshops
Hands-on sessions for product, engineering, and exec teams, turning hype into a shortlist of bets worth taking.
What it’s
actually moved.
Tests wired in before launch, so 'is the new prompt better?' has an answer, not a vibe
Guardrails and prompt-injection defenses treated as features, not afterthoughts
A rollback path for every model and prompt change you ship
What we ship,
in plain language.
AI Prototypes
Two-to-six-week prototypes on your data, built to test feasibility, latency, and cost before you commit to a roadmap.
Intelligent Automation
AI woven into workflow engines and back-office processes, replacing forms, queues, and copy-paste.
Model Operations
Training, evaluation, and deployment pipelines, self-hosted or in the cloud, with cost and drift monitoring.
Smart Search
Search that answers from your own content, tuned and tested so the answers hold up.
Computer Vision
Detection, text extraction, and classification for documents, retail, healthcare, and industrial use cases.
AI Integration
Leading and open-source AI models wired into your product with cost, latency, and rate-limit guardrails.
Testing & Guardrails
Offline and live test harnesses, prompt-injection defenses, and rollback plans for every release.
A predictable shape,
every engagement.
- 01
Use-case shaping
We pick the smallest problem worth solving, and define what 'good' actually looks like.
- 02
Prototype
Two-week spike with real data to test feasibility, latency, and cost before committing.
- 03
Productionize
Tests, guardrails, monitoring, and a release pipeline you can trust on a Friday afternoon.
- 04
Iterate
Continuous evaluation against new data and prompt changes, with a clear path to rollback.
FAQ
Questions we hear first.
What is AI & Machine Learning at TintSol?
AI is only useful when it changes a number on your dashboard. We help product and engineering teams move past the demo: from picking the right approach to wiring in the testing, guardrails, and grounding that make a system your customers actually use.
What does AI & Machine Learning at TintSol include?
It covers AI Agents, AI Consulting, AI Workshops, AI Prototypes, Intelligent Automation, Model Operations, Smart Search, Computer Vision, AI Integration, and Testing & Guardrails.
How does an engagement run?
Every engagement follows the same 4 stages, in order: Use-case shaping, Prototype, Productionize, and Iterate.
How quickly can we get started?
We reply to every enquiry within one business day. Most engagements start within 5–7 business days of the initial brief, once scope and team are agreed.
How much does it cost?
We don't publish a rate card. Every engagement is scoped and quoted after a short brief, either as a fixed-scope project with defined milestones or as an ongoing retainer. Send us a brief and we'll reply within one business day.