Localization Wedges for B2B AI
Max Peters, CEO of Adapta, on building AI agents for Brazilian SMBs
The strategic point is that localization creates a defendable middle layer between raw model access and full enterprise platforms. These companies are not winning by training better models. They are winning by turning many fast changing models into one usable system for a specific buyer, with local language, billing, workflows, education, and trust features that global labs and suites rarely build for SMBs in each market.
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The first three workspace buckets are becoming clear. OpenAI is packaging business work into a managed workspace with seats and admin roles, and now spreadsheet sidebars. Google is spreading Gemini across Docs, Sheets, and Slides. Glean built the enterprise version around internal search and company data. The localization players sit below that, focused on one region and customer segment.
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Langdock shows what a localization wedge looks like in practice for Europe. It routes requests across 40 plus models, adds audit controls, EU data handling, and approved workflows, then sells seats, automation runs, and API markup. By March 2026 it reached an estimated $25M ARR, still far smaller than Glean, but growing because the product solves a regional blocker the global platforms only partly cover.
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Adapta is the Brazil version of that pattern, but for SMB enablement instead of compliance. The product is sold as one place for owners and teams to chat with multiple models, build simple internal tools, and run automations. The wedge is Portuguese language examples, Brazilian software integrations, annual plans paid in installments, training, consultants, and events, which echoes HubSpot building software plus education plus partner distribution for SMBs.
This category is heading toward regional AI operating systems. As models keep improving and changing, the lasting value moves upward into onboarding, workflow design, governance, and local distribution. The winners will look less like thin wrappers on APIs, and more like HubSpot for AI in their home markets, owning both the software surface and the playbook for how small businesses actually adopt it.