Siplinx AI Updates

We built Siplinx AI because we believe the current generation of AI meeting tools has a fundamental privacy problem. When you use Fireflies, Otter, or Granola, your meeting audio is sent to their servers, processed by their AI, and stored indefinitely. For legal teams, medical practices, financial advisors, and anyone handling confidential conversations, this is unacceptable.

Siplinx AI takes the opposite approach. During installation, the app downloads a quantized local LLM (for summaries) and a Whisper-based STT model (for transcription) directly to your machine. From that point forward, no network connection is required for AI processing.

Key features in the public beta:

• Real-time transcription with zero upload latency
• On-device meeting summaries and action item extraction
• Works with Zoom, Google Meet, Microsoft Teams, Webex, and in-person meetings
• Export to Markdown, PDF, Notion, Obsidian
• Available for macOS 12+ (Apple Silicon & Intel) and Windows 10/11

The public beta is available today with a 14-day free trial. Use promo code QATEST100 at checkout for 100% off your first 14 days.

The idea for Siplinx AI started in 2024 when our founders — coming from enterprise software and ML infrastructure backgrounds — noticed a pattern: the teams most eager to use AI meeting tools were the same teams legally prohibited from sending meeting data outside their organization.

Legal firms couldn’t use Otter because of client confidentiality. Healthcare teams couldn’t use Fireflies because of HIPAA. Financial advisors couldn’t use Granola because of regulatory data residency requirements. The answer from every existing vendor was the same: “We’re SOC 2 certified.” But certification doesn’t change the fundamental architecture — your data still travels to their servers.

We spent six months exploring whether modern quantized LLMs and STT models could run fast enough on consumer hardware to be practical. The answer surprised us: on Apple Silicon and modern Intel/AMD CPUs, local Whisper-based transcription is faster than streaming to a cloud API. Local summarization with a 7B parameter quantized model adds under 30 seconds after a meeting ends.

We realized we could deliver better performance, better privacy, and a simpler trust model — all in a single desktop app.

Today Siplinx AI is in public beta. We’re a small team, fully remote, building the meeting AI we always wanted for ourselves. If this resonates with you, we’re hiring.