Ingrid Bauer

Solid for our team

We rolled this out across the team last quarter and natural language prompts replace custom scraper code. Support for dynamic, rendered websites fits neatly into how we already work, and automatic handling of pagination and navigation removed a step we used to do by hand. but it has held up under daily use.

Does the job

Pretty happy overall. AI text-to-speech with 500+ voices just works and large library of natural-sounding voices. Best features locked behind paid tiers can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Use it every day

Honestly didn't expect to like it this much. Scheduled and event-based automations is exactly what I needed, and visual builder is approachable for non-developers. I do wish advanced workflows have a learning curve, but I reach for it almost every day now and it just clicks.

Years in this space

I've evaluated a lot of these over the years. What stands out here is automated receipt and statement parsing — handled better than most — and accepts a wide range of document types. Worth the time if this is your use case.

Years in this space

I've evaluated a lot of these over the years. What stands out here is high-throughput LLM inference — handled better than most — and fast inference on Cerebras wafer-scale hardware. Worth the time if this is your use case.

Use it every day

Honestly didn't expect to like it this much. Analytics on support performance is exactly what I needed, and works as autonomous agent or human-assist mode. I do wish setup and tuning may need vendor involvement, but I reach for it almost every day now and it just clicks.