JitBit is currently experiencing a minor incident, which began 300d ago. The vendor's full update timeline is below.
Update timeline
- monitoring Jul 21, 2025, 10:41 AM UTC
We don't usually announce unreleased features, but we're about to ship something I've personally tried solving for years . The problem is simple to describe and maddening to solve: how do you automatically remove signatures, logos, confidentiality footers, "follow-us-on-LinkedIn" blocks, and those 200-word GDPR disclaimers from incoming e-mails? Over the last decade we tried: Old-school ML models - like "least squares" support vector machine, that builds a hyperplane for classification (accuracy plateaued around "meh") Regex soup (broke every time somebody used a different font) Classic NLP (great at English, useless when half the ticket is in German) Client-side JS techniques that simply extract & hide repetitive parts from reply feeds Nothing stuck. The edge cases always outnumbered the happy path. Enter the LLM era Large-language models turn out to be perfect at this task. They actually understand that: -- John Doe VP of Something ACME Corp https://acme.example | @acme | [youtube] | [instagram] [300x100 stock photo with a company motto] CONFIDENTIAL: This e-mail... yada yada is junk, while the paragraph above it from the customer is the real issue. We finally collected enough labeled data to fine-tune an open-source model for this task. Right now it's already running, chewing through messages for a handful of beta SaaS accounts. Initial metrics: 94.4 % signature boundary precision 0 personal data leaves our network Privacy baked in Your emails never detour through OpenAI, Google, Anthropic, Misrosoft or anyone else's AI for message parsing. We have a dedicated open-source model running on a traditional server - just with an extra GPU humming along. When can you get it? If the last round of QA passes, we'll flip the switch by the end of this week . Also, this feature is offered to SaaS customers only, not on-premise - since it requires an external GPU-powered microservice. What if it makes a mistake? In rare cases, it might unintentionally omit meaningful parts of emails. If that happens, you can always click the "More - View original email" button in the ticket to see the full, unaltered message. Looking forward to reclaiming a few extra pixels of sanity for all of us.