Business Development Representative

Smartling, an AI-powered translation company, has launched its largest AI innovation release, introducing new capabilities for enterprise-scale multilingual content. The announcement includes LQA Agent, an automated translation evaluation system using Multidimensional Quality Metrics framework to identify errors and assign quality scores. The release also features Auto Select LLM for higher-quality translations, Style Rules for AI to maintain brand consistency, Instant AI Translation via synchronous API, and Language Adaptation for regional variants. A preview of AI Image Translation enables text extraction and translation within images. In internal testing, LQA Agent achieved 90% agreement with human reviewers and 99% accuracy on severe errors. Smartling recently received ISO/IEC 42001:2023 certification for AI management systems. LQA Agent, Auto Select LLM and Language Adaptation will be available from 20 May 2026.

ConveyThis vs. Smartling: which is right for enterprise teams? ConveyThis vs Smartling: an honest enterprise localization comparison covering workflows, SEO, speed, pricing, and which platform best fits your team. No card details No commitment Both platforms can translate enterprise websites. The question isn't which one is better - it's which one fits how your team actually works. Here's the honest comparison most vendor pages won't give you. I'll be upfront: I founded ConveyThis. So this comparison comes with a built-in bias I can't fully erase. What I can do is tell the truth about where Smartling wins, where it doesn't, and how to figure out which platform fits your team. If after reading this you decide Smartling is right for you, that's a win for everyone - choosing the wrong enterprise translation software is one of the most expensive mistakes a localization team can make. Both ConveyThis and Smartling sit in the enterprise tier of website translation platforms. Both offer translation memory, glossary control, multilingual SEO, API access, and compliance features. The differences live in pricing model, implementation philosophy, and what happens after the first six months - when most teams realize their initial assumptions about what they needed were wrong. The 30-second answer. Pick Smartling if: You have a dedicated localization team of 5+ people, you manage translation across web, mobile apps, marketing collateral, and product docs simultaneously, you need deep workflow customization for a multi-step linguist + reviewer + approver pipeline, and your annual translation budget is comfortably above $80,000. Pick ConveyThis if: Your priority is the website itself, you want fast time-to-launch (most enterprise customers go live in 4-6 weeks), you need server-side translation for SEO, and you want pricing that scales with content volume rather than translator seats. That's the headline. Below is the detail. Side-by-side comparison. | Capability | ConveyThis | Smartling | | Time to launch (mid-market site) | 2-6 weeks | 8-16 weeks | | Pricing model | Word-volume + language tiers | Word-volume + per-seat licensing | | Translation rendering | Server-side (SEO-friendly) | Server-side or proxy | | Auto-detection of new content | Real-time crawl | Configurable (manual or scheduled) | | Workflow customization | Standard linguist + reviewer flow | Highly customizable multi-step workflows | | Glossary & TM control | Built-in | Industry-leading | | Mobile app translation | Limited | Native support | | Document & marketing collateral | No | Yes | | Compliance (HIPAA, GDPR, SOC 2) | Yes (Enterprise plan) | Yes | | Self-service onboarding | Yes - install and run | Implementation services usually required | | Typical annual cost (mid-enterprise) | $15K-$60K | $80K-$250K+ | Pricing figures are based on publicly observable customer-reported ranges and its own enterprise tier. Smartling's pricing varies significantly by contract; treat these as directional, not exact. Where Smartling genuinely wins. Smartling has been in the enterprise localization space longer than ConveyThis. There are categories where that maturity matters. Multi-channel localization beyond the web. If your team is translating a website, an iOS app, an Android app, in-product copy, support docs, marketing emails, and a quarterly print catalog - Smartling handles all of that in one platform. ConveyThis is purpose-built for websites. ConveyThis LLC integrate with mobile and document workflows through API, but ConveyThis LLC don't pretend to be a one-stop translation hub for every asset class. If your localization team needs a single source of truth across every surface where your brand speaks, Smartling is the cleaner answer. Workflow customization for large linguist teams. Smartling's workflow builder lets you define multi-step translation pipelines with conditional routing - something like "linguist A translates, in-country reviewer B approves, then if the content type is legal, reviewer C signs off, otherwise it auto-publishes." This level of customization matters when you have 20+ linguists, multiple agencies in the loop, and content that requires different handling depending on its type. ConveyThis offers a clean linguist + reviewer flow that covers 90% of enterprise needs, but if you live in the other 10%, Smartling fits better. Mature integrations with TMS infrastructure. If you already use Phrase, memoQ, or Trados as your core TMS and you want a website translation layer that talks to them natively, Smartling has more polished integrations. ConveyThis LLC is catching up here, but it's an honest gap. Where ConveyThis genuinely wins. Time to launch. Smartling implementations typically take 8-16 weeks for a mid-enterprise site. That includes integration work, workflow setup, glossary import, linguist onboarding, and QA cycles. The price tag usually includes professional services that charge against this timeline. ConveyThis enterprise customers are usually live in 4-6 weeks. The shorter timeline isn't because ConveyThis LLC cut corners - it's because the platform handles content detection, hreflang, and rendering automatically. There's less to configure, so there's less to delay. If you're reading this in Q1 with a board commitment to launch three new languages by end of Q2, that timing difference isn't a nice-to-have. It's the deal. Server-side translation as the default. Both platforms can render translations server-side, but Smartling's classic implementation often defaults to proxy-based delivery. Proxy works, but it adds a routing layer between your visitor and your content, which has implications for SEO, analytics attribution, and CDN caching. ConveyThis renders translations server-side as the default architecture. AI search crawlers and Google's crawler see the translated page as a first-class citizen, not a proxied derivative. For mid-market sites where SEO is a primary growth channel, this is meaningful. Pricing that scales with content, not seats. Smartling charges per linguist seat in addition to translation volume. That's fine when your linguist count is stable. It becomes painful when your team grows, when you bring in agency partners for a launch, or when you need to add reviewers seasonally. ConveyThis prices on translated word volume and language count. Add as many internal reviewers, project managers, or stakeholder accounts as you need without the seat math. For teams that scale headcount unpredictably, this is the difference between predictable and surprise-billed. Self-service that actually works. Smartling's enterprise tier expects a kickoff with implementation services. That's reasonable for the complexity it supports - but it's also a barrier when you want to evaluate the platform yourself before committing. ConveyThis lets enterprise prospects spin up a full sandbox, point it at a staging site, and see how their content gets translated and rendered without a sales call. ConveyThis LLC has had Fortune 500 teams complete the entire evaluation in two weeks because they could just try it. How to actually decide. If your evaluation committee is split, the question I'd ask is this: what's the primary translation problem you're solving in the next 12 months? If the answer is "unify localization across web, mobile, product, docs, and marketing assets," Smartling is your shortest path. The platform is built for that scope. If the answer is "get our website performing in 5-15 languages with SEO intact, fast, without a six-figure implementation," ConveyThis is built for that. Most mid-enterprise teams I talk to fall into this second bucket - they have a website that's been monolingual for too long, a Q2 launch deadline, and a CFO who wants the budget to be predictable. There's no shame in either choice. The mistake is picking the wrong tool for the wrong problem and spending nine months realizing it. What ConveyThis LLC hear from teams who switched. ConveyThis LLC has onboarded a meaningful number of customers who came from Smartling. Their reasons cluster around three themes: * Implementation overhead exceeded the value. The team was paying for capabilities they didn't use, and renewal forced a hard look at whether the cost matched the actual workflow. * Pricing predictability. Per-seat licensing made budgeting harder than expected, especially during agency-heavy launch periods. * Speed. The team needed to add a new market in 6 weeks, and the existing platform wasn't built for that pace. Equally, ConveyThis LLC has had teams evaluate ConveyThis LLC and choose Smartling - because they needed mobile + docs + web in one platform, or because their localization workflow was too custom for its standard flow. Those decisions made sense too. The right enterprise translation software isn't the one with the longest feature list. It's the one that matches the shape of your team's work. Alex Buran, Founder of ConveyThis Alex has spent the last decade building infrastructure for multilingual websites. He writes about localization, AI search, and the technical side of going global. Want to see how ConveyThis handles your specific stack? Book a 30-minute enterprise demo and ConveyThis LLC'll walk through your site, languages, and workflow in real time - no slides, no implementation services upsell. Book an enterprise demo

Industry intelligence report - 25 April 2026. April 25, 2026 AI Developments in Translation & Language Services, curated daily by Anova Translation as part of the AICONTEXT Project. Industry intelligence report. 25 April 2026 AI Developments in Translation & Language Services News Items Domains Active Avg Relevance Key Patterns Subtitling / Dubbing Translation / CAT Tools Localization Interpretation Machine Translation Executive summary. Chyron launched PRIME Translate at NAB 2026, an orchestrated workflow solution that produces highly scalable language translation - including hyper-realistic facial movement, audio dubbing, and graphical text overlays - within live production workflows. Powered by NVIDIA Holoscan for Media and NVIDIA AI infrastructure, the system transforms a single broadcast production into multiple localized, monetizable outputs in different languages for regional and global audiences. Why it matters. For the first time, regional broadcasters can serve 80+ geographic markets from a single production team, unlocking new ad inventory across languages. This moves live-broadcast localization from expensive post-production into real-time infrastructure - a pattern that will ripple into sports rights, news, and event broadcasting. Smartling launched LQA Agent in early Q2 2026, an AI-driven linguistic quality assurance tool that delivers instant quality evaluations across all translated content - eliminating the traditional reliance on small manual samples. The agent integrates seamlessly with existing Smartling workflows and is aligned with human judgment through extensive calibration. The launch coincides with Smartling being named #3 Most Innovative in Business Services by Fast Company for 2026. Manual LQA has always been the bottleneck in scaling AI translation - you could only review a fraction of output. An automated LQA agent that evaluates every translation changes the quality assurance equation entirely, making full-coverage QA economically viable for the first time. Locanucu published a strategic analysis identifying three distinct tiers emerging in the localization market: the Frictionless Generic Tier (fully automated, commodity translation), the RAG-Enabled Messy Middle (AI-augmented with retrieval and context), and the Air-Gapped Compliance Fortress (secure, regulated, human-verified workflows). The analysis argues that AI has permanently shattered the legacy per-word pricing model and that each tier demands fundamentally different technology stacks, pricing models, and talent profiles. This framework gives LSPs a strategic lens for positioning: competing on price in the generic tier is a race to zero, while the compliance fortress commands premium margins. The 'messy middle' is where most LSPs currently sit - and where differentiation is hardest. Key Patterns. 1. Real-Time Broadcast Localization Goes Native - Chyron's PRIME Translate shows that multilingual broadcast localization is moving from post-production into the live production pipeline itself. When NVIDIA infrastructure powers real-time translation including facial animation and graphic overlays, the entire broadcast value chain shifts from per-market production teams to software-defined localization. 2. Quality Assurance Becomes Automated and Universal - Smartling's LQA Agent signals the end of manual QA sampling as the industry standard. As AI translation volumes grow 200%+ year-on-year, the quality layer must scale proportionally - and only automated, AI-calibrated evaluation can keep pace. 3. The Localization Market Is Fracturing Into Distinct Tiers - Locanucu's 'Great Fracture' framework crystallises what many practitioners feel: there is no single localization market anymore. The commodity tier, the context-rich middle, and the compliance fortress each require different tools, pricing, and talent - and LSPs that try to serve all three with one model will lose on all fronts. 4. NAB 2026 Aftershocks Continue to Land - This week's news continues the wave of NAB Show announcements. Chyron joins Deepdub, ENCO, BRAHMA AI, Broadpeak, AudioShake, Plint, and AI-Media in launching broadcast-grade localization products at the show - making NAB 2026 the most significant single event for media translation technology this year. Tools gaining momentum. * Chyron PRIME Translate * Smartling LQA Agent * KUDO AI Zoom Integration * Crowdin Copilot * DeepL Voice-to-Voice Names to follow. * DeepL (IPO exploration at $5B) * Smartling (Fast Company #3) * Chyron (NVIDIA partnership) * Locanucu (strategic analyst) Emerging themes. * Market tiering replaces one-size-fits-all * Automated QA as prerequisite for AI scale * Live broadcast localization goes software-defined * DeepL IPO signals industry maturation Anova Translations - AICONTEXT Project AI Developments in Translation & Language Services · 25 April 2026 Founder and Managing Director at Anova Translation. Language industry professional specialising in B2B translation, localisation, and AI-assisted language solutions.