Who speaks for your organization?
The nervous system for AI-native organizations.
Konstant executes, escalates, and advocates — so your priorities govern every agent in your stack.
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AI Power − Organizational Judgment = Speed in the Wrong Direction
Your tools are extraordinary. Your agents are multiplying. Yet there’s no system ensuring they’re aligned to what matters to your organization beyond semantic similarity.
That layer didn't exist. We built it.
Patent-pending selection algorithms that learn from your organization's judgment, score context against your actual priorities, and govern how information reaches decisions.
One collaborator. Three functions.
The nervous system metaphor isn't poetic — it's precise.
Handles work that doesn't need human judgment. Drafts, researches, synthesizes, and executes across your tools.
The reflexes
Knows when human judgment matters. Surfaces the right context to the right person at the right moment.
The pain signals
Translates your organizational priorities into system behavior. Keeps every agent, vendor, and tool aligned to what matters.
The coordination layer
What a selection layer surfaces that search cannot.
Each with evidence and a path to action.
That engineer who solved the latency problem. Before anyone knew it was a problem.
Surfaced before anyone asked — not after
Revenue is up. But enterprise deals are down 40%. Good or bad?
Flagged the moment it drifts — not at quarterly review
Three teams are building compliance tooling. Nobody asked them to.
Named and routed to a decision-maker automatically
Not a wrapper. Not a prompt layer.
A selection layer.
Ad tech built selection algorithms for conversion. Social platforms built them for engagement. We built them for enterprise organizational priorities.
Same architecture. Different objective function. Not a wrapper on an API — different problem, different math.
How it learns
Employees generate the signals (work they already do).
You provide the weights (judgment).
Every decision teaches. The system understands what your company actually cares about.
WE BELIEVE
AI should make more people visible, not fewer.
Most enterprise AI optimizes for efficiency. We optimize for awareness. The goal is not to automate judgment. It is to give leaders the context to use theirs.
“I finally understand what my team is actually worried about.”
Konstantin Richter, CEO at Blockdaemon
Series C · $155M raised · 150+ employees · 60+ days active
Konstant surfaces drift in Blockdaemon's sales pipeline, engineering roadmap, and customer support. Without Konstantin having to ask.
Search answers what you asked. Selection makes you aware of what you need.
Different problems. Everyone built better search. Nobody built selection.
Built by operators, not observers.
Taylor Fitzgerald
CEO
Former BlackRock investment team. Revenue operator at Rent the Runway. Now building the alignment intelligence layer for scaling CEOs.
Adam Helfgott
CTO
Founded Madhive — built the ad tech selection algorithms that drove $300M in revenue (backed by Goldman Sachs). Still Chairman. Now applying the same engineering to enterprise AI.
Konstantin Richter
Co-Founder
CEO of Blockdaemon. 300 employees, $155M+ raised. Active design partner and live pilot.
The nervous system for AI-native organizations.
For anyone ready to see and act on what matters.
We are selecting a small number of design partners.
Your data never trains public models · Patent pending