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Is this your company? Claim itWe make testing and red-teaming software for teams that deploy chatbots and AI agents, with an open-source core and an enterprise edition.
Customers hand us real conversation logs so we can test their chatbots, and those logs hold personal data. We need a lightweight way to control where it lives, who can open it, and when it is purged for good. It must host inside the European Union, set up fast without an admin, and fit a small team's budget.
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Every day we match incoming recordings to the right technologist or reading physician, across time zones and credential levels. Today it is manual rostering. A good solution must understand clinical qualifications, urgency of each study, and who is on shift where, then suggest assignments we can override. Generic shift planners do not cut it.
We are building outbound sales for the first time, and it feels like assembling the plane while flying it. Our first outbound hire is stitching sequences together in a crm and an engagement tool. What we need: a simple, dependable pipeline process a small team can set up fast, with clear stages, clean handoffs, and no heavy admin.
We keep opening engineering roles at several levels, and our hiring loop is slow and uneven. Our team already uses AI coding tools daily, yet our interviews barely reflect that. We need a fair, fast way to assess real work skills, ideally in a typed JavaScript stack, with small-team pricing and a trial first. No heavy contracts.
We run several certifications across multiple legal entities, and every year the same control testing and evidence gathering gets repeated per entity. A good solution must map one control set across entities, reuse evidence across frameworks, keep scopes separate, support local data residency, and plug into our identity provider and ticketing.
We wish for a scheduling tool built for freelance clinicians, not salaried rosters. It would match session demand to available people by language, specialty and time zone, then book automatically. We would judge it in a small team trial: fewer manual hand-offs, faster booking, and support for many languages.
We wish we had one tool that maps every consent record and telehealth visit recording to the data rules of each participant's country, then enforces retention, access and transfer limits automatically. We would judge it by audit-ready evidence, validated configuration, proven use with patient-facing apps, and support across time zones. Fewer manual legal reviews per trial would be the clearest proof.
We are standing up first-line compliance controls and still lean on periodic manual checks and small sampled reviews. Problems surface weeks late. We want continuous monitoring that flags drift as it happens, with a clear audit trail for every decision, regional data hosting, and light setup that needs almost no engineering help from us.
Keeping our security certification current while answering partner questionnaires by hand is swallowing most of our compliance capacity. An audit is coming this year. A good solution prefills standard questionnaire answers, tracks evidence continuously across multi-region, hardware-heavy operations, and keeps pricing flat as we grow. Usage-based pricing tied to data volume is a dealbreaker.
We wish for one evidence workspace where a single control artifact is collected once and reused across every assurance report we face each year. We would judge it by fewer repeat requests to our teams, clean mapping between frameworks, an auditor-friendly trail, and support in our time zones. Partner-facing evidence sharing would be a strong plus.
We wish for a training workspace that replays real, anonymized alert sequences as drills, so new analysts practice triage the way our shifts actually run. We would judge it by how quickly juniors handle live alerts alone, how clean their escalations are, and whether pricing stays fair when staffing rotates around the clock.
We wish for one place that keeps controls and evidence current across every framework we claim, with crosswalks between healthcare, payment and secure development requirements. We would judge it by how little manual evidence chasing remains before an audit, whether pricing is published upfront, and whether it fits a small budget and our existing pipeline.
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