FAQ

Welcome to the Future of Memory.

Blacklake: AI meets memory. A modern data layer for intelligent content operations.
Preview from September, launch at LocWorld Monterey and TAUS Salt Lake City in October.

Behind the Lake

The Translation Memory of the 1980s was a relic of its time: static databases, locked in silos, recycling fragments of text without context. It served its purpose—but the world has moved on.

Today, content flows across platforms, channels, and languages. AI, automation, and performance metrics shape every decision. A legacy memory system simply can’t keep up.

Blacklake is the big leap forward: a living memory layer for the AI era. It unifies fragmented assets, enriches them with context and analytics, and makes them universally usable across workflows, systems, and teams. Not just match-based reuse, but intelligent, adaptive knowledge powering content operations at scale.

It’s time to wave goodbye to the tools of the 1980s—and welcome the future of memory. 👋

Our Mission

Our mission is to be the TMS of the future — not a Translation Management System, but a Transformation Management System. A content iPaaS with a robust memory-and-data layer that automates, adapts, and orchestrates content across languages, formats, and platforms—at scale.

Unified Memory Layer
Breaks down silos by consolidating content fragments, knowledge, and assets across all systems and workflows.
Consistent voice and style
Go beyond traditional match-based reuse by utilizing previous content for context—including style, terminology, tone of voice, and consistency.
Enrich memory with metadata
Enrich memory with metadata, such as content performance metrics, allowing smarter reuse based on KPIs (e.g., favoring high-performing translations).
Leverage Translation Memory (TM)
Leverage your legacy TMs outside of a CAT-tool or a Translation Management System, making it accessible across workflows and systems.

Content Memory.

Blacklake isn’t just for translation memory — it’s content memory. Any team producing high-volume, repetitive, or compliance-sensitive content can use it as their intelligent memory layer, with performance-aware reuse and governance built in.

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