Solutions
Pick up one call first.
Not every organization needs a transformation program on day one. Sometimes the best start is one specific signal, one decision and one measurable business outcome.
Leading by Example
Solution · CastR / Bob
We removed gravity
from staffing.
We took our own staffing organization and turned it into a queryable system — skills, projects, people, customers and context, all connected and reasoning together. Match accuracy, time-to-shortlist and availability drift are produced by CastR itself, in the same loop — not by a reporting tool watching from outside. We call it CastR.
Before
Manual search · delays · fragmented chats
After
Contextual matching · proactive opportunities
Friction
Heavy, recurring, invisible
Flow
Continuous, semantic, queryable
CastR · Removing Gravity from Staffing
Detection over Broadcast
Solution · PulsR
Before
Broadcast · campaigns · cold outreach
After
Continuous scanning · intent-timed activation
Friction
Linear cost, manual prospecting, late timing
Flow
Detect → score → brief → act, in hours not weeks
PulsR · Removing Gravity from Lead Conversion
We removed gravity
from lead conversion.
PulsR permanently scans the market, detects the moment commercial intent appears, scores the opportunity, and prepares the outreach. Signal yield, accepted/rejected/converted ratios and scoring drift come out of the detection loop itself and feed straight back into the weights — no separate reporting layer. Sales stop searching for openings and start responding to them. We call it PulsR.
ESG / Sustainability Agent
Your data called. It found a compliance risk.
For ESG reporting, CSRD readiness, carbon signals, supplier risk and sustainability documentation.
Talk to Your Data Starter
Your data called. It answered before the meeting.
For leadership teams that want natural-language access to business context, metrics, documents and decisions.
Decision System Starter
Your data called. It already has a plan.
One high-value decision, end to end, in six to eight weeks. Semantic layer, live workflow, AI assistant and adoption playbook.
Each solution measures itself as it runs — match accuracy, signal yield, drift, time-to-decision. Produced by the loop they describe, not by a dashboard standing next to it.