From zero to predictive intelligence in under 48 hours
No data migration. No engineering team required. No black-box model you can't explain to your board. Just a secure connection, models that learn your organisation, and daily interventions your managers can act on.
Step 01
Secure data connection — without moving a single byte
Siwaan connects to your existing HRIS, project management, and survey tools via read-only APIs in under 48 hours. There is no data migration, no ETL pipeline, and no engineering resources required on your side. Everything stays inside your secure perimeter.
Read-only API access — write permissions never requested
Fine-grained permission scopes you control and can revoke instantly
Automated schema mapping — no manual field configuration
Data validation and quality checks before any model runs
SOC 2 Type II secure architecture throughout
Pre-built connectors
+ any HRIS with a REST API or SFTP export
Step 02
AI models that learn your organisation — not a generic dataset
Siwaan's XGBoost models train on your organisation's specific patterns — your attrition curves, your skill correlations, your delivery cycles. No manual configuration, no data scientist required. Models are validated against your historical data before a single prediction is shown.
Attrition risk, resource matching, and sentiment models trained simultaneously
SHAP attribution layer ensures every prediction is fully decomposed
83% baseline attrition accuracy validated on your actual historical departures
Models retrain continuously as new signals arrive — accuracy improves over time
Training happens entirely on-premise — your data never reaches our servers
Model performance on your data
Attrition Risk Model
baseline accuracy
Resource Match Engine
placement fit score
Sentiment Trend Model
real-time scoring
XGBoost + SHAP · Trained exclusively on your org's signals · No shared model data
Step 03
Prescriptive interventions — not just risk scores
Siwaan doesn't stop at prediction. Every risk alert includes a decomposed explanation of why the risk exists and a set of AI-recommended actions your managers can act on immediately — from compensation reviews to project reassignments to 1:1 conversation prompts.
Flight-risk alerts with SHAP-attributed signal breakdown — no mystery, just reasons
Auto-staffing matches ranking bench candidates by skills fit and availability
Recommended resolution paths: comp review, promotion, reassignment, or coaching
Narrative summaries for leadership — board-ready, not analyst-ready
Delivered to Slack, email, or your Siwaan dashboard — wherever your managers work
Sample intervention alert
Priya S. · Senior Engineer
AI Recommended Actions
Book 1:1 this week
Assign to Project Phoenix (96% skills match)
Initiate L5 promotion review
Delivered to Slack, email, or your Siwaan dashboard
What you get, and when
Most customers see their first attrition risk predictions within 48 hours of starting the connection process.
Hour 0
HRIS connected
Hour 0
HRIS connected
Read-only API handshake complete. Zero migration.
Hour 4
Data validated
Hour 4
Data validated
Schema mapping, quality checks, and baseline signals verified.
Hour 48
First predictions live
Hour 48
First predictions live
Attrition risk scores and resource match rankings appear in your dashboard.
Week 1
Full suite active
Week 1
Full suite active
Sentiment trends, bench alerts, and AI narratives running continuously.
Your workforce data never leaves your control
Siwaan was designed from the ground up as a privacy-first, on-premise platform. There is no central data lake, no shared model training across customers, and no cloud inference. The architecture isn't a privacy feature — it's the foundation every other feature is built on.
Data never leaves your environment
All model training, inference, and storage happens on-premise inside your secure infrastructure. We never receive, cache, or process raw employee data.
Read-only access with custom scopes
Siwaan connects via read-only API with fine-grained permission scopes you control. You can revoke access at any time without data residue.
Explainable by architecture
SHAP-native predictions mean every model output is fully decomposed and auditable. Privacy isn't just a policy — it's enforced at the inference layer.
Data flow architecture
Your secure environment
Siwaan On-Premise Engine
Model training · Inference · Storage · SHAP
Siwaan Dashboard + Alerts
Your team sees predictions — not raw data
Siwaan Cloud
Product updates · Support · Zero employee data
Ready to see it live?
Go from HRIS connection to first predictions in 48 hours
We'll walk you through a live demo against your own data schema — no mock data, no hypotheticals. You'll see actual attrition risk scores, resource match rankings, and SHAP explanations for your own workforce in a single session.
Privacy-first · On-premise deployment · No vendor lock-in