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Is this your company? Claim itWe build data loss prevention software that spots sensitive information flowing into chat tools, cloud apps and generative AI assistants.
Our deals are getting bigger and sales cycles longer, but our pipeline tracking still feels built for quick wins. We need forecasting that handles multi-year contracts, multiple stakeholders and staged approvals, without a dedicated admin to run it. A good fit lets a small team trial it quickly and see clean, trustworthy forecasts.
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We assemble our supervisory returns by hand, pulling data from several departments right before each statutory deadline. It is slow, error-prone and hard to audit. A good solution must pull from our existing systems automatically, keep figures consistent across reports, track deadlines, keep full lineage, and keep all data hosted inside the European Union.
We keep every new laptop and account within policy, but proving it at audit time still eats weeks. Our small IT group gathers proof by hand across Linux and Mac machines. A good solution must treat Linux as a first-class citizen, tie device inventory to audit evidence automatically, and plug into our ticketing and code hosting.
We approve small business loans in seconds through partner platforms, so business verification cannot be a manual step. We need an API-first check, with a sandbox, that confirms a company is real and who controls it almost instantly. It must cover several countries, fit a startup budget, and need no big implementation team.
We ship AI replies that pull from each customer's own knowledge base, and right now our engineers judge draft quality by hand. It doesn't scale. We need a lightweight way to score retrieval and answer quality on the customer's own content before replies reach end users. No dedicated ML staff to run it, and pricing must be predictable.
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 onboard retail customers from many countries, and identity documents vary wildly. Provider checks catch most cases, but manual follow-up keeps piling up. We want checks that scale without adding headcount. A good solution covers many European jurisdictions, is API-first so our engineers can own the integration, and avoids long minimum contract terms.
We wish a tool existed that flags compliance risks at project kickoff and tracks them through delivery, instead of catching issues late. We would judge it by per-project workflow tracking, a full audit trail, and whether it fits government accreditation reviews. Named enterprise support matters too. Consumer-grade tools without audit logs are a non-starter for us.
Our claims and fraud handlers keep repeating the same manual lookups across systems, which eats time better spent on judgement. We want agents that automate those lookups safely, with clear audit trails, human approval on sensitive actions, and tight access controls. Insurance experience matters. Who has handled this well in regulated claims environments?
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