Case Study: Ontra Accelerates AI Innovation with Tonic Textual

Ontra accelerates AI model evaluations with Tonic.ai

Ontra, a leader in AI-powered solutions for the private markets, faced a challenge in generating the ground truth datasets needed to test and evaluate its AI models. Their previous method for anonymizing legal documents was costly and time-consuming, as it required re-processing data to create alignment between structured and unstructured datasets. This bottleneck slowed AI development cycles and increased costs, hindering their pace of innovation. They turned to vendor Tonic.ai and its Tonic Textual product for a solution.

By implementing Tonic Textual, Ontra gained the ability to consistently redact and synthesize sensitive information across both structured and unstructured legal documents in tandem. This unified de-identification streamlined workflows, eliminating redundant processing and accelerating ground truth generation. The solution provided by Tonic.ai enabled Ontra's team to produce higher-quality anonymized datasets more quickly and at a lower cost, resulting in faster model development and greater scalability without compromising customer data protection.

Ontra