Find the compliance gaps in your AI system before a regulator, customer, or lawsuit does — in 5 business days, for a fraction of what outside counsel charges. No code changes required.
Most teams deploying AI can't prove where their training data came from, whether they own their outputs, or which rules apply to them. That gap stays invisible until it becomes a fine, a lost deal, or a lawsuit.
Enterprise buyers increasingly ask where your training data came from. If you can't answer, procurement stalls and the deal goes to a competitor who can.
Courts are actively ruling on AI training and outputs. Finding exposure yourself costs a review; having a rights holder find it costs a lawsuit.
EU AI Act penalties reach up to €35M or 7% of global annual turnover. Knowing which obligations apply to you is the first step to avoiding them.
Investors, acquirers, and auditors expect documentation you may not have. Gaps found late delay rounds, reprice deals, and cost far more to fix under pressure.
No retraining, code changes, or system integrations required. Taala reviews what you already have.
Provide an AI model, training dataset, or model documentation. Taala reviews what you already have.
Taala evaluates IP provenance, copyright exposure, regulatory mapping, and audit readiness across your materials.
Receive a compliance summary, risk breakdown, and generated legal artifacts ready for internal or external review.
Proceed with confidence — or remediate identified issues before they become costly legal or regulatory problems.
Every finding comes with a risk rating and concrete fixes, so you know what to address first and what it protects you from.
Assesses potential ownership and licensing risk related to training data sources. Surfaces documentation gaps before they become disputes.
Identifies potential infringement or similarity to protected works. Evaluates training data against known copyrighted material.
Maps model use cases to applicable regulatory frameworks including the EU AI Act, CCPA, and sector-specific requirements.
Evaluates documentation completeness and traceability for legal review. Generates the artifacts your legal team needs.
A structured compliance report with actionable risk breakdown and generated legal artifacts.
Illustrative sample output. Not final product functionality.
B2B SaaS / Professional Services hybrid — growing toward recurring platform revenue.
One-time structured compliance report covering IP provenance, copyright exposure, EU AI Act regulatory mapping, and audit readiness. Delivered in 5 business days.
Early client offer: $1,250 in exchange for a testimonial — available for our first few clients.
Ongoing compliance monitoring, quarterly reviews, and full audit support for teams managing multiple AI systems.
Full-suite: continuous monitoring, API access, and custom regulatory mapping for large-scale AI deployments.
Built at Columbia Business School. Moving fast toward first revenue.
Product concept, live demo, website, and IP framework defined
MVP complete, actively closing first paid assessments
Launch v1 SaaS platform to automate the assessment workflow
Hit first ARR milestone, launch EU AI Act compliance module
Scale GTM with seed funding
You could. Here's what you'd be missing.
29 questions mapped to real regulatory standards — EU AI Act Articles 11, 14, and 72, HIPAA, GDPR, and IP provenance requirements. Building that yourself takes weeks.
A 7-page structured report with risk ratings, findings, recommendations, a documentation checklist, and a legal review memo — something you can hand to a board, a regulator, or outside counsel.
When Taala signs a report, someone is accountable for the analysis. A ChatGPT conversation has no author. That matters when regulators ask questions.
A full compliance review delivered in 5 business days. Building the same output internally requires expertise across IP law, copyright, and EU AI Act compliance — simultaneously.

"Who owns what AI creates? Taala is the infrastructure that answers that question."
Get in touch to learn how Taala can protect your enterprise before deployment.