Boston, MA, Sept. 16, 2026 (GLOBE NEWSWIRE) -- Smartcat today announced it has been named a Leader in both the Computer-Assisted Translation and Localization categories of G2's Fall 2026 Grid® Reports. Smartcat also holds Momentum Leader status in Computer-Assisted Translation, a G2 designation that measures the pace at which a vendor is growing relative to others in the category. This is the second consecutive cycle it has held Leader status in both.
Every G2 badge is calculated from verified reviews submitted by people who use the product, meaning that this recognition was earned in the Smartcat platform and submitted by users.
Recognition across categories that matter
Smartcat holds Leader status in the general Computer-Assisted Translation and Localization categories, which are the two that reflect the full scope of enterprise localization work. That placement has held steady, and it comes from reviewers running high-volume, high-complexity content operations.
Translation and localization have not gotten easier to manage, especially as content volume keeps climbing. This work now moves across more channels and more languages at once, and the teams responsible for shipping this work are under constant pressure to move faster without letting quality slip.
Three themes surface repeatedly in what those teams say separates the platforms that hold up under that pressure from the ones that don't:
- Complexity that doesn't break the workflow – Formatting, terminology, and structure have to survive the process intact
- Humans and AI working together – Not automation replacing linguists and experts, but a system where each does what it's best at
- Quality that still clears the bar – Faster and more automated only counts if the output ships
What the reviews say
- "Its capability to translate complex and long texts into the desired language — I can say it is worth investing in Smartcat." — Jatin A., QA, Mid-Market (51-1000 emp.), G2 review
- "What I like most is how practical it is. It's fast and intuitive to use." — Felipe C., Sr. Analyst Learning Experience Design, Enterprise (1,000+ emp.), G2 review
Why this matters
Badges are a snapshot, but the pattern underneath them is a trend. Buyers are evaluating localization and translation platforms are leaning harder on verified customer voice and less on vendor claims. That shift rewards the platforms that can actually deliver on complexity, human-AI collaboration, and quality at the same time.
"Buyers are more skeptical of vendor promises than ever, so a badge our customers chose to give us carries more weight than anything we'd claim ourselves," said Ryan Grable, CMO at Smartcat. "What they keep telling us is that work today is more complex, it takes humans and AI actually working together to get through it, and none of that matters if the output isn't exceptional. That's the bet we've made for 10 years, and it's why this recognition means something."
About G2
G2 is the world's largest and most trusted software marketplace, where verified users review the business software they use. G2's Grid® Reports rank vendors within a category based on customer satisfaction and market presence, calculated entirely from that review data.
About Smartcat
Smartcat is the AI market adaptation platform that helps global enterprises automate multilingual content workflows across Learning & Development, Sales, and Marketing. Its AI coworkers are trained on each customer's approved knowledge and standards, with human review built into every workflow, so the world's largest and most complex enterprises can stay current in every local market. Smartcat is trusted by Fortune 1000 brands and is a SOC 2 compliant organization. Learn more at https://www.smartcat.com/
See what Smartcat customers are saying g2.com/products/smartcat/reviews
Frequently Asked Questions
How do Smartcat coworkers and humans work together for high quality output?
Smartcat pairs AI coworkers with human translators and reviewers inside the same workflow. The AI handles the repetitive, high volume parts of a translation project, like first-pass drafting, terminology consistency, and formatting, while human linguists focus their time on judgment calls like tone, cultural nuance, and the kind of quality checks that require a person. That division of labor lets teams move faster without cutting corners on the final output, and it's the same model our G2 reviewers keep pointing to when they talk about finishing projects quicker while the quality holds up.
What types of complex workflows can Smartcat customers scale?
Customers use Smartcat to scale everything from routine document and website localization to workflows with a lot of moving parts, like multi-language product launches, large-scale content libraries that need consistent terminology across hundreds of files, and regulated content where formatting and structure can't break in translation. The platform is built so that adding more languages, more content, or more reviewers doesn't mean starting the process over each time.
How is security and quality maintained throughout?
Every workflow runs on data that's isolated per customer workspace. Glossaries and translation memory are never shared across accounts, and customer content is never used to train AI models, ours or any third-party provider's. On the quality side, that same human-plus-AI structure carries through security and accuracy alike: AI output moves through review checkpoints where a human linguist checks it before it's considered final, so speed doesn't come at the expense of catching an error. Smartcat is SOC 2 compliant, and that same standard of control extends to how customer data is handled at every step.
Press Inquiries
press@smartcat.ai
https://www.smartcat.com/
