Weigh up the fit.
See where your experience matches and where it falls short. The score is advice. You decide whether a role is worth pursuing.
AI-powered. Human-first. You make the calls.
Find your fit and shape your application from the experience you’ve validated.
Bristol · Hybrid
Your platform leadership is a close match. Lead with the cloud migration.
Your £1.2M cloud migration gives you a clear example of leading change while keeping services running.
The role asks for FinOps experience. Your CV shows budget ownership, but not a formal FinOps practice.
You validate the history. AI helps you present it.
Every claim must come from your source CV or extended profile.
See where your experience matches and where it falls short. The score is advice. You decide whether a role is worth pursuing.
Tailor your CV and cover letter from the history you’ve validated. The rule: reframe what’s there. Never invent experience to fill a gap.
Check for unsupported claims and generic phrasing. Review the PDF’s extracted text, make your edits, then submit it yourself.
You set the direction and choose what to delegate. Let agents handle the groundwork through MCP, the local API, or scheduled discovery.
Give your AI assistant access to your application history. File promising roles, organise your inbox, and keep statuses up to date through MCP or the documented API.
Run saved searches on a schedule and optionally score new roles against your CV. Come back to a queue ready for review while Niai runs on your computer.
Your call on the role. Your call on the words. Your call to send.
From the first promising role to the next conversation. Keep the details close.

See what’s in play and choose your next step.

Keep drafts, submissions and interviews together.

Weigh your strengths, the gaps and what to emphasise.

Keep one source of truth for every tailored application.

Compare incoming roles before adding them to your applications.

Remember who you’ve spoken to and where to follow up.
Actual app screenshots. All people, companies and records shown are fictional.
Your source CV, tailored drafts and application history live on your computer as readable files. Keep them, edit them, back them up.
Understand what leaves your machinePlain Markdown. No proprietary document format.
Niai is currently in a small, invite-only closed beta. Request an invite and tell us a little about how you apply for roles; invitations are sent in batches as space becomes available.
Your CV and applications are stored as files on your computer. If you choose a cloud AI provider, the relevant documents are sent to that provider for generation. Optional search integrations also contact external services.
You do. Fit scores and AI suggestions are advice: you decide which roles are worth pursuing, what your application says, and what to send. You choose which tasks to delegate to agents or automation. Niai does not submit applications for you.
Niai’s rule is strict: every factual claim in a draft must be supported by your source CV or extended profile—the career history you have reviewed and validated. AI may reword, reorder and emphasise that evidence. It must not invent employers, dates, qualifications, skills or achievements to match a role. The draft review checks for unsupported claims; AI can still make mistakes, so your review remains essential.
AI helps discover roles, assess their fit, and draft and review applications grounded in your source CV and extended profile. You decide which suggestions to accept. You choose a supported model provider; available features, provider charges and hardware requirements depend on your choice.
Yes. Niai exposes a local MCP server (Model Context Protocol) and a versioned HTTP API with an OpenAPI specification. Connected agents can read applications, search your history, add jobs to the inbox, import or dismiss queued roles, and update application status. The current MCP/API surface does not run document generation or permanently delete data.
Schedule saved searches to collect new roles and optionally score them against your CV. Connect your own agent or script through MCP or the local API to organise the pipeline. Scheduled searches run while Niai is running on your computer, with the relevant sources and model provider configured. You review the results and submit applications yourself.
No. Niai helps you assess, prepare and track applications. You review the output and submit it yourself.
It checks the text extracted from the generated PDF so you can spot missing content before sending it. It does not guarantee how every applicant tracking system will interpret or score your CV.
AI to help you prepare. Your judgment to take it forward.