{"id":15588,"date":"2026-06-03T21:00:00","date_gmt":"2026-06-03T19:00:00","guid":{"rendered":"http:\/\/stocks-future.com\/?guid=f41dee10fec068d2864f2e60292b9b6b"},"modified":"2026-06-03T21:00:00","modified_gmt":"2026-06-03T19:00:00","slug":"modelfront-announces-outcome-based-pricing","status":"publish","type":"post","link":"https:\/\/stocks-future.com\/?p=15588","title":{"rendered":"ModelFront Announces Outcome-Based Pricing"},"content":{"rendered":"

\nCustomers pay only for saved words, making translation AI ROI direct and predictable.<\/i><\/p><\/a><\/a>

PALO ALTO, Calif.--(BUSINESS WIRE)--ModelFront today announced outcome-based pricing, a win-win structure that aligns the cost of AI with the value it creates, to provide a more secure return on investment.<\/p>

\nModelFront is AI to check and fix AI translations. It automatically verifies segments that humans would verify unedited, and triggers human intervention for those that need it. Enterprise translation buyers use ModelFront to automate and scale while keeping human quality<\/a>.<\/p>

\nUnder the outcome-based pricing structure, customers only pay for saved words \u2014 words in segments that were verified by AI. There is no AI cost for the bits of content that AI sends to manual services.<\/p>

\nOutcome-based pricing fits naturally into ModelFront\u2019s workflow. ModelFront checks each AI translation. If ModelFront confirms it, the customer pays ModelFront for it \u2014 and skips manual services. If not, it still goes to manual services, and the customer pays ModelFront nothing.<\/p>

\nUnder this structure, automatic post-editing<\/a> is effectively included, because it applies to both the original AI translation and AI translations edited by AI. Both customers and ModelFront benefit from every improvement in AI, whether the AI that generates the translation, or the automatic post-editing provided by ModelFront.<\/p>

\nOutcome-based pricing makes it straightforward to shift budget from manual post-editing to AI. Companies translating millions of words per year now get direct net cost savings and faster turnaround times because ModelFront keeps human quality.<\/p>

\n\u201cAI ROI has been hard to measure, let alone predict. With ModelFront, you see exactly how many words AI automated, and with savings-based pricing, you pay for those only. As AI improves, you can shift more and more from manual services to AI. We invest in improving AI, you get safe ROI. This aligned structure is key to scaling translation while keeping human quality.\u201d<\/i> \u2014 Adam Bittlingmayer, CEO and Technical Co-Founder, ModelFront<\/b><\/p>

\nThe exact price per saved word depends on specifics, like volume, content types, languages, integrations and deployment requirements, just like with manual post-editing.<\/p>

\nTo maintain full transparency, ModelFront provides a savings dashboard<\/a>, for customers to monitor precisely how many words are being automated in their workflow. The dashboard tracks absolute word savings and percentage savings, provides totals and graphs over time, slices data by language and content type, and supports Excel report downloads to calculate ROI.<\/p>

\nModelFront is used by translation teams inside large enterprises, primarily Fortune 500 companies, across industries like software, law, fashion, travel and pharma.<\/p>

\nModelFront is available across all ModelFront integrations<\/a>, including Phrase (The Carlyle Group (NASDAQ: CG)), XTM (K1 Investment Management), memoQ, WorldServer and Trados Enterprise (RWS (LSE: RWS)) and GlobalLink and Wordbee (TransPerfect), and via the ModelFront API<\/a>.<\/p>

\nModelFront works with AI-generated translation from any source, including Google Translate and Gemini (Alphabet (NASDAQ: GOOGL)), DeepL, Microsoft Custom Translator (Microsoft (NASDAQ: MSFT)), OpenAI, Claude (Anthropic) and Systran (ChapsVision).<\/p>

\nOutcome-based pricing is establishing itself as a standard among leading vertical-AI companies like ModelFront and Sierra. These products are autopilots, not co-pilots \u2014 they actually successfully automate much of the core work, at company scale, for a specific high-value task like translation or customer support. ModelFront and its customers started shifting to outcome-based pricing in 2024.<\/p>

\nOutcome-based pricing has also been announced for AI features launched by traditional SaaS companies like GitHub (Microsoft (NASDAQ: MSFT)), Salesforce (NYSE: CRM), Zendesk (private), Adobe (NASDAQ: ADBE) and Intercom (private).<\/p>

\nAbout ModelFront<\/b><\/p>

\nModelFront is AI to check and fix AI translations and trigger human intervention as needed, to scale translation while keeping human quality.<\/p>

\nGenAI started in translation, but failed to accelerate human-quality translation. Manually checking every AI translation (\u201cpost-editing\u201d) was still too slow and expensive.<\/p>

\nCompanies use ModelFront to fully automate millions of words, while keeping the same human quality, right inside their existing setup.<\/p>

\nUnlike most AI providers, ModelFront provides verification (\u2713 or \u2717)<\/a>, not just unverified generation, and takes responsibility for keeping human quality.<\/p>

\nHundreds of millions of words of high-value Fortune 500 content have been trusted to ModelFront.<\/p>

\nModelFront does not<\/i> provide manual human translation services. ModelFront is a Gartner Cool Vendor and recognized by translation industry publications like Nimdzi, Multilingual Magazine, Slator and CSA Research. ModelFront Inc. is based in Palo Alto, California.<\/p>

\nModelFront\u2019s vision is more content in more languages for more people.<\/p>

\nAbout translation<\/b><\/p>

\nGenerative AI started in translation<\/a> \u2014 the Transformer model architecture, the foundation of large language models, was invented for machine translation inside Google in 2017.<\/p>

\nTranslation was thus the first workflow to shift to humans verifying and editing AI output, rather than manually writing content from scratch.<\/p>

\nTranslation is also key to human progress. More than 6 billion people cannot understand English, and companies spend $70 billion a year, and growing, on translation and localization.<\/p>

\nRead the original press release at modelfront.com\/news\/outcome-based-pricing-2026<\/a><\/p> Contacts<\/b>

\nMedia contact<\/b>Email: press@modelfront.com<\/a><\/p>","protected":false},"excerpt":{"rendered":"

Customers pay only for saved words, making translation AI ROI direct and predictable.PALO ALTO, Calif.–(BUSINESS WIRE)–ModelFront today announced outcome-based pricing, a win-win structure that aligns the cost of AI with the value it creates, to pro…<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-15588","post","type-post","status-publish","format-standard","hentry","category-infos-businesswire"],"_links":{"self":[{"href":"https:\/\/stocks-future.com\/index.php?rest_route=\/wp\/v2\/posts\/15588","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/stocks-future.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/stocks-future.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/stocks-future.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/stocks-future.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=15588"}],"version-history":[{"count":1,"href":"https:\/\/stocks-future.com\/index.php?rest_route=\/wp\/v2\/posts\/15588\/revisions"}],"predecessor-version":[{"id":15589,"href":"https:\/\/stocks-future.com\/index.php?rest_route=\/wp\/v2\/posts\/15588\/revisions\/15589"}],"wp:attachment":[{"href":"https:\/\/stocks-future.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=15588"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/stocks-future.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=15588"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/stocks-future.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=15588"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}