AI Candidate Matching
Rank candidates against role requirements and show the evidence behind every recommendation.
Concept platform
ORBIT
The operating system for modern recruitment firms.
A unified platform that combines CRM, candidate management, AI sourcing, interview workflows, and client collaboration in one intelligent workspace.
01 / The problem
Recruitment runs on too many tools, too much manual work, and not enough visibility.
Critical context gets buried across inboxes, spreadsheets, point solutions, and disconnected client updates. ORBIT turns that fragmented work into one traceable operating flow.
Source candidates
Track in spreadsheets
Screen and qualify
Schedule interviews
Collect feedback
Update clients
Close and report
02 / Platform overview
One system from first brief to final placement.
ORBIT connects the commercial, operational, and human sides of recruitment. Every role, candidate, client decision, document, and performance signal remains visible in one workspace.
01Source
02Qualify
03Interview
04Collaborate
05Place
06Learn
03 / Core modules
Everything a modern recruitment firm needs. Connected by design.
Recruitment CRM
Keep companies, contacts, opportunities, and every client conversation in one shared system.
Interview Pipeline
Move candidates from sourced to placed with clear ownership, feedback, and next actions.
Client Portal
Give clients a focused workspace for shortlists, approvals, updates, and decisions.
Document Automation
Generate briefs, candidate summaries, interview packs, and placement documents from live data.
Analytics Dashboard
See pipeline velocity, recruiter capacity, conversion points, and placement performance in real time.
04 / Candidate intelligence
Every candidate, fully understood.
Profile, experience, interviews, feedback, notes, availability, and role fit stay together—so recruiters can move faster without losing the human context.
05 / Explainable AI
Explainable matches. Better hiring decisions.
ORBIT does not hide judgment behind a score. It shows how each recommendation connects to role requirements, candidate evidence, and recruiter priorities.
How the AI works
Ingest role data
ORBIT collects structured and unstructured role inputs, team context, and hiring signals.
Structure signals
The platform identifies skills, seniority, impact patterns, and environment requirements.
Rank candidates
Candidates are scored across multiple factors with transparent explainability.
Recruiter approval
People review, adjust, shortlist, and move candidates forward with full context.
06 / Modeled targets
Concept objectives, not client results.
These measures define the operating improvements the ORBIT concept would be designed to validate during a real implementation.
53%Faster placement cyclesModeled target / Concept objective
68%Less manual administrationModeled target / Concept objective
07 / Technology
Built for performance, security, and change.
01Next.js
02TypeScript
03PostgreSQL
04Secure documents
05AI orchestration
06Analytics
08 / Development timeline
From operating model to working platform.
Discovery
Align on goals, users, constraints, workflows, and the decisions the platform must improve.
Product architecture
Map the information model, user flows, integrations, permissions, and system boundaries.
Interface system
Design the product language, core journeys, components, and interaction patterns.
Platform build
Develop the core platform, connected data, and AI-assisted operating workflows.
Launch and iteration
Deploy with a controlled team, tune real behavior, and expand what proves valuable.
From the concept brief
“Recruiters should spend their time judging talent, not moving data between tools.”
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