How to get the best deals on Protégé — pricing breakdown, savings tips, and alternatives
per month
Don't overpay for features you won't use. Here's our recommendation based on your use case:
Most AI tools, including many in the coding agents category, offer special pricing for students, teachers, and educational institutions. These discounts typically range from 20-50% off regular pricing.
• Students: Verify your student status with a .edu email or Student ID
• Teachers: Faculty and staff often qualify for education pricing
• Institutions: Schools can request volume discounts for classroom use
Most SaaS and AI tools tend to offer their best deals around these windows. While we can't guarantee Protégé runs promotions during all of these, they're worth watching:
The biggest discount window across the SaaS industry — many tools offer their best annual deals here
Holiday promotions and year-end deals are common as companies push to close out Q4
Tools targeting students and educators often run promotions during this window
Signing up for Protégé's email list is the best way to catch promotions as they happen
💡 Pro tip: If you're not in a rush, Black Friday and end-of-year tend to be the safest bets for SaaS discounts across the board.
Test features before committing to paid plans
Save 10-30% compared to monthly payments
Many companies reimburse productivity tools
Some providers offer multi-tool packages
Wait for Black Friday or year-end sales
Some tools offer "win-back" discounts to returning users
If Protégé's pricing doesn't fit your budget, consider these coding agents alternatives:
Scale AI provides a data-centric infrastructure platform that accelerates AI development by combining human-in-the-loop data labeling with advanced automation. The platform supports the full AI data lifecycle—from annotation and curation to RLHF (Reinforcement Learning with Human Feedback) and model evaluation—serving enterprise customers including Meta, Microsoft, OpenAI, Toyota, and the U.S. Department of Defense. Scale's platform integrates with major ML frameworks and cloud providers (AWS, GCP, Azure), offers programmatic APIs for pipeline automation, and provides specialized workflows for computer vision, NLP, sensor fusion, and generative AI fine-tuning. Unlike competitors such as Labelbox or Snorkel AI, Scale differentiates through its managed workforce of over 240,000 contractors combined with proprietary quality-assurance algorithms, enabling high-throughput labeling at enterprise scale with configurable accuracy guarantees.
Starting at See pricing
Protégé sources real-world, proprietary data across five primary domains: healthcare (including multimodal patient journey data, clinical documentation, and medical imaging), video, audio and speech, spatial and physical intelligence (including motion capture), and other industry-specific verticals. The platform supports all four stages of the AI development lifecycle, from massive diverse pre-training datasets to narrowly curated fine-tuning data and uncontaminated benchmark datasets. Unlike public scrape-based corpora, Protégé focuses specifically on private and proprietary data that is not otherwise available.
Protégé uses enterprise pricing that is not published on its website, meaning all engagements require direct contact with their sales and partnerships team. Pricing is presumably tailored to the volume, modality, and exclusivity of the data being licensed, as well as the scope of the consultative work needed to source and prepare it. This model is consistent with other premium AI data platforms targeting frontier labs and enterprise customers, though it makes the platform inaccessible to smaller teams and individual researchers. Prospective buyers should expect a custom quote process rather than a public pricing page.
Protégé operates under the corporate name Protege Health, Inc. and is headquartered at 169 Madison Ave, New York, NY. The company announced a $25 million Series A in February 2026 to expand its AI training data platform, followed by a $30 million Series A extension led by Andreessen Horowitz (a16z), bringing total Series A funding to approximately $55 million. The extension was driven by rapid adoption across healthcare, media, audio, motion capture, and other verticals as AI companies increasingly need high-quality, non-public data.
Based on our analysis of 870+ AI tools, Protégé differs from labeling-first platforms like Scale AI, Labelbox, and SuperAnnotate by focusing on data sourcing rather than annotation of existing data. Its core value proposition is connecting model builders with genuinely proprietary, non-public data held by hospitals, studios, and enterprises, with rights and provenance protections built in. Customer testimonials describe Protégé as a hands-on internal partner that helps identify the right data for specific problems, rather than a self-serve data catalog. This makes it more comparable to a specialized data brokerage than to a labeling tools vendor.
Yes — Protégé runs a dedicated 'For Data Providers' program that allows organizations holding proprietary datasets or content to generate revenue by licensing that data to AI builders. The platform emphasizes maintaining clear rights protections and provenance tracking throughout the exchange, which is particularly important for regulated domains like healthcare. Data providers can participate across the same five domains the platform serves: healthcare, video, audio and speech, spatial and physical intelligence, and other domains. This two-sided marketplace model is one of the platform's distinguishing features compared to pure-buy-side data vendors.
Check out their current pricing and look for seasonal promotions
Get Started with Protégé →Pricing and discounts last verified March 2026