We reason about the things nobody wrote down.
Most tools match what people wrote about themselves. We build structured understanding of how Nordic tech is actually built — and use it to evaluate candidates beyond the CV. This is the engine under every service.
Three kinds of intelligence,
one accumulating picture.
Person, company and ecosystem signals flow into Context — and the matcher reads them back out as evidence, not a score.
Person intelligence
Beyond CV and LinkedIn: how they describe their work — technology-only, business-outcome, or decision-reasoning — and the complexity of the environment they've operated in.
Company intelligence
What a company actually builds versus its marketing, and what "senior" means there. Stored as a first-class entity that enriches everyone who worked there.
Ecosystem intelligence
Market-wide patterns — tech relationships, talent flow between companies, how the market is structured. Emergent, and impossible to scrape from public profiles.
“Fit is a qualitative description, not a number. Matching is a question generator.”
We read fit in three layers.
Most agencies stop at Layer 1. The value is usually deeper down — in the candidates who don't obviously match.
Direct fit
Does the literal experience match the brief? The part any keyword tool can do — table stakes, and where everyone else stops.
Adjacent capability
Has the person solved the hard part in a different shape? The transferable judgment that makes a non-obvious hire the stronger one.
Contextual inference
Reasoning from what we know about the company, the market and the person's own words — to surface fit that exists nowhere on a CV.
A guess becomes evidence.
Every claim we can make about a person, product or case has a state — and three lenses. Click through one slot's life.
The highest-quality signal comes from real conversations — what people reveal when they talk about their work, which exists nowhere online. Moving that from free-form notes to guided capture is the single biggest quality improvement available to us.
Human-led.
AI-powered behind the curtain.
A named person leads every engagement. AI does the heavy lifting — sourcing breadth, drafting, tracking 300+ conversations, the audit trail — but it never becomes the voice of the work.
If you can tell a section was generated, we've failed. No generic affirmations, no buzzword stacking, no claims without scope. AI hides inside excellent substance; it never announces itself.
Your people are IP.
We keep it liquid.
The same capture skeleton, pointed at your own consultants. Year-round, we keep each person's story current — so when an RFP lands, you generate a tailored narrative in minutes, not a last-minute scramble with a stale CV.
Explore Profile Engine →- Capture onceSlack questionnaires, facilitated 1:1s, meeting transcripts
- Generate manyN tailored RFP narratives per person, per case
- Retained through turnoverThe knowledge stays even when people move on
Frequently asked questions
What is HelloWork Context?
HelloWork Context is our named data engine and competitive moat — the accumulated, structured understanding of how Nordic tech is actually built. It holds three kinds of intelligence: person, company and ecosystem. The matcher reads it back out as evidence about candidates, beyond anything written on a CV. It's the engine under every service.
What does 'human-led, AI-powered' mean?
A named person leads every engagement and owns the voice of the work. AI does the heavy lifting behind the curtain — sourcing breadth, drafting, tracking hundreds of conversations, the audit trail — but it never becomes the voice. If you can tell a section was generated, we've failed: AI hides inside excellent substance, it never announces itself.
Is fit a score?
No. Fit is a qualitative, evidenced description, not a number. We don't collapse a person to a single score; we write out the evidenced reasons they fit a specific brief — and, just as usefully, the reasons they don't. Matching is a question generator: it surfaces leads and questions, not verdicts.
What makes the engine hard to copy?
It reasons about the unwritten — information that exists nowhere on the internet — sourced from thousands of real conversations rather than public data. It requires being embedded in the market over years, so a competitor starting today is years behind, and it compounds: every verified inference makes future ones sharper, so the gap widens.
See it on a real brief.
Send us a role. We'll show you the reasoning, not just the result.