What we've been working on

The Challenge

Their developers sent over tool-generated logs flagging which strings were in scope for upcoming marketing and branding work. Useful information, buried in noise.

So the team copy-pasted, scrolled, combed through it all by hand, and then hunted every single string down in their internal system. Then repeated it for the next one, losing more than two hours every day new logs landed.

The Approach

We studied the logs, then built a tool around them:

• We sat down with them on a real, live project: pain points, dependencies, tech stack, and where those files needed to go next.
• We brainstormed internally, found the patterns and took apart the logic behind the logs.
• We built a custom tool. Not another SaaS subscription: it's fully owned by their team, and kept separate from their internal platform, in line with their DPO. AI sped up the build, so a working prototype landed before release.

Now they upload the logs, the tool filters out the unnecessary, and they know exactly what to work on and where to find it.

The Result

2+ hours saved on every day new logs land. More importantly, that time now goes where their team is meant to focus: the real drivers of growth.

We now work alongside their marketing team as an established partner.

Whether your scope is clear or you're still working through the unknowns, we can take it on. Let's map your workflow together.

The Challenge

A well-established brand based in Poland was expanding into two new Eastern European markets. The expectation from leadership was simple to state and hard to deliver: the new languages had to sound like the brand had always existed in them. Existing terminology, tone, and style guides — built over years for Polish and other core languages — needed to carry over, even though no linguistic assets existed yet for the new markets.

The risk was obvious. Start translation without a terminology foundation, and you get inconsistent product names, clashing tone, and a costly cleanup project six months down the line. The client needed a terminology base (TB) before a single string could be translated — but building one from scratch, by hand, for two new languages would have taken weeks the project timeline didn't have.

The Approach

Rather than starting from a blank page, Synthagma treated the brand's own history as the starting material. We used AI to scrape and process the client's complete back catalog of already-translated content across their existing languages, extracting how key terms, product names, and brand-specific phrasing had been handled consistently over time.

That gave us the brand's internal logic. To fill the gaps — terms with no prior translation precedent in a market context — we scraped comparable products and services already live in the two target markets, capturing how the target audience already talks about this category. The result was a terminology base that was both true to the client's existing voice and native to how real customers in the new markets actually speak.

We presented the draft TB to the client for review before a single page was localized. Once approved, it became the single source of truth handed to the linguist team.

Keeping It Alive Through Delivery

A terminology base isn't a document you finish once — it's a working tool. As linguists moved through the actual translation phases, real content surfaced edge cases the initial research hadn't covered: new product lines, idiomatic phrasing, market-specific regulatory language. We treated the TB as a living asset, continuously polishing and expanding it in step with the translation work rather than freezing it at approval.

The Result

The two new markets launched with a localization that read as native, not translated — consistent terminology, correct tone, and no visible seams between the brand's established languages and its new ones. Just as valuable: the client walked away with a polished, approved, universal terminology base covering all their markets, ready to speed up and de-risk every localization project that follows.

Expanding into new markets and worried about brand consistency before a single word is translated? This is exactly the kind of groundwork Synthagma builds before translation even starts — get in touch to talk through your rollout.

The Challenge

A global cloud servers provider needed a large volume of AI pre-translated content post-edited — but the catch was the platform it had to happen on. The client's CAT (computer-assisted translation) tool was notoriously unfriendly, undocumented internally, and came with no built-in analysis features. There was no way to even calculate how many words a given project actually contained, let alone track progress through it.

The client didn't want to become experts in a tool they didn't choose and didn't like. They came to Synthagma specifically because of our technical acumen, asking us to navigate the platform, work out how to scope the job at all, and come back with a workable plan — and then execute it.

The Approach

This was an exploratory project with real unknowns from day one, so we started where exploratory projects should: brainstorming sessions to map out what the platform could and couldn't do, and what "scoped correctly" would even mean without any native analysis tooling.

The core problem was that nobody — not the client, not us, not the platform — could say how many words were actually in a project. So we built the tool that didn't exist: an internal word-count scraper powered by an LLM, capable of detecting and calculating accurate wordcounts per project directly from the platform. That one piece of tooling unlocked everything downstream — for the first time, the project could be scoped with real numbers instead of guesswork.

The Execution

With accurate wordcounts in hand, we could get the project over the line and post-edit what was requested and also guided the client through a high-visibility dashboard that did three things at once:

• It gave the client a transparent, data-backed basis to agree a budget and timeline on — no more negotiating blind against an opaque platform.
• It let our linguists mark strings and projects as in-progress or complete in real time as they worked through the post-editing.
• It gave the client a live, filterable view of exactly where every project stood, at any moment, without needing to ask, prompting them to send us additional volumes.

We scoped the full engagement against these numbers, agreed a precise timeline, and delivered the most cost-efficient solution the client could get — then post-edited the content itself against that plan, with client sign-off at each stage.

The Result

The client got a clean, accurate scope and budget for a job that initially had no visibility at all, delivered by a partner who absorbed the technical complexity instead of handing it back to them. The dashboard gave full real-time transparency into progress across every project, and the custom wordcount tooling we built solved a problem the platform itself never addressed — turning an opaque, frustrating tool into something fully manageable.

Stuck with a platform or workflow nobody on your team wants to own? Synthagma specializes in exactly this kind of exploratory, technically messy project — reach out and let's scope it out together.

The Challenge

A company reached out to Synthagma with a familiar-sounding complaint: one of their core internal processes felt stuck. Not broken, exactly — just slow, in a way that was hard to pin down. Work was getting done, but it felt like it was happening around a loop of side-tasks that existed purely to keep the process moving, rather than to move it forward.

The Discovery

We started with a call and a live demo of the team's current setup, rather than jumping straight to solutions. What came out of that session was a clear diagnosis: the company was managing essentially everything through manual trackers. Every project, every task, every handoff lived in its own spreadsheet or tracker that someone had to update, cross-reference, and chase by hand. The tool meant to support the work had quietly become a second job layered on top of it.

Several possible fixes were on the table from the first conversation, but we didn't want to guess at priorities from the outside. We worked directly with the team to identify the biggest pain points and the handful of things that actually mattered to keep visible day to day — not a wishlist of everything that could theoretically be tracked.

The Approach

Instead of patching the existing tracker sprawl, we built a single interactive dashboard app, designed specifically around how this team's projects actually move:

• Project launch, so new work starts in one place instead of a new spreadsheet.
• Assignment of outsourced resources, so the right people are looped in automatically rather than chased over email.
• Live progress tracking, so status is always current without someone manually updating a cell.
• Query management, so open questions have a home instead of getting lost in a thread.
• Task closing and internal reporting, so finishing work and reporting on it are part of the same motion, not two separate chores.

Everything the team used to track across a scattered set of trackers now lives in one connected tool, built around their actual workflow rather than a generic template.

The Result

Before building anything, we measured how much time the team was actually spending on the old process. After the dashboard went live and became part of daily use, that time was cut by 45% — nearly half. The company didn't just get a tool; they got hours back every week that were previously going into keeping a process alive rather than doing the work itself.

If a core process at your company runs on a patchwork of trackers and spreadsheets, there's a good chance the bottleneck isn't the work — it's the tooling around it. Talk to Synthagma about what a purpose-built dashboard could do for your team.