Custom assessments, scoped to your models.
Robusto engagements start with a custom contract for an adversarial robustness assessment. Pricing depends on the number of production models, the regulatory regime your product falls under, and the depth of hardening you need.
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Robusto sells as a scoped Statement of Work, priced against your value at risk, not our compute. Pick the entry point that matches the buying motion you need.
One model, one dataset. We scope and assess only, no hardening. Best as a low-commitment proof of concept.
Deliverables:
The full engagement: scope, assess, harden, report. Most production engagements land here.
Deliverables:
Tier 2 re-run every retraining cycle, on an annual commitment. For teams making robustness part of every release.
Deliverables:
Exact figures depend on the number of production models in scope and the depth of hardening. We share a real anchor on a 30-minute scoping call.
Walk through the ML models you have in production, the regulatory regime they fall under, and your current robustness posture.
Run a 2-week diagnostic across attack types relevant to your domain. Output: a ranked list of vulnerabilities and a robustness baseline.
Apply selective evolutionary training to harden weak models. Deliver a compliance-shaped report mapped to EU AI Act and NIST AI RMF.
| Outcome | Detail |
|---|---|
| Up to $168K a year of manual robustness testing labor removed | Automated attack simulation replaces 70% of manual robustness testing labor across 10 models. |
| Up to $180K a year of modeled adversarial-incident exposure removed | Modeled against the IBM Cost of a Data Breach 2025 baseline, scoped to a 3 to 5 percent adversarial-incident sub-event at a typical 2 incidents per year. |
| Around $20K a year of EU AI Act and NIST audit prep removed | Auto-generated EU AI Act and NIST AI RMF evidence cuts compliance prep from 200+ hours to roughly 60. |
| 5 lines of code vs 4 to 8 weeks of ML engineering | Integrate without building a custom reliability pipeline. Engineering time goes back to product work. |
| Up to €15M or 3% of global turnover in EU AI Act exposure averted | EU AI Act Article 15(5) explicitly names adversarial examples and model evasion. Article 99(3) sets the penalty for high-risk system non-compliance under Annex III (credit decisioning, healthcare ML, employment screening). Eur-Lex |
Tell us about your models and regulatory deadlines. We will respond with a scoped contract and timeline.