AI that actually
makes your business
money.
Built for companies ready to scale, and individuals ready to automate their work.
847
Treaties Analysed
this month
4.2s
Avg Processing
vs 3 days manual
94%
AI Accuracy
underwriting calls
3 days → 4s
Treaty processing time
↓ 38%
Call centre handle time
R1M+
Client cost savings
91%
First-call resolution rate
Trusted by leading organisations across Africa
Reinsurance
Risk & Capital Markets
Wealth Management
Financial Planning
Health Insurance
Medical Aid & Wellness
Life Insurance
Savings & Investments
Commercial Banking
Retail & Corporate Finance
Built on enterprise-grade technology
Integrations
AI Integrations That Connect
Your Workflow
Connect your systems, route data through intelligent models, review outputs, and trigger actions across your business tools.
Business Systems
Ingesting data…
AI Integration Layer
Unified data pipeline with intelligent routing and normalisation.
Review AI Outputs
Ingesting data…
LLMs / AI Services
Connected Destinations
Automation & Actions
Business Systems
AI Integration Layer
Automatic data ingestion
Review AI Outputs
Central processing hub
LLMs / AI Services
Automation & Actions
Connected Destinations
Why Vort
We make
companies
money using AI.
Not demos. Not prototypes. Real automation that cuts costs, speeds up workflows, and compounds over time.
0+
Enterprises served
R0K+
Client savings documented
0%
Uptime SLA guaranteed
< 0wk
Avg time to production
Sector Specialists
Deep expertise in regulated industries — insurance, reinsurance, banking, and call centres. We've reduced treaty processing from 3 days to 4 seconds.
Built Around Your Data
We work alongside your team to understand your workflows. Your AI model learns your language, your contracts, your processes.
Measurable Outcomes
Every model is benchmarked against your KPIs. Not 'better AI' — specific numbers: cost per claim, handle time, accuracy rate.
Rapid Time to Value
From raw data to production-ready AI in under 6 weeks — with full integration and deployment support included.
Services
What we build
Custom AI systems for insurance, banking, call centres, and enterprise — with specific, measurable outcomes.
Automated Fine-Tuning
Your AI, trained on your data. Reduce underwriting processing time by 40% and automate claims analysis — no manual work.
From R35,000
- Automated data preparation & cleaning
- Multi-model fine-tuning & selection
- Performance benchmarking against your KPIs
- Model versioning & registry
Your model is private — only you can access it. Vort has zero visibility once deployed.
Case Study
Before Vort → After Vort
Before
- Underwriters spent 3 days manually reviewing each treaty
- Call centre agents averaging 8-minute handle times with no AI assist
- Claims triaged by hand — 4 day average processing
- Missing clause detection relied on senior staff memory
- No fraud pattern recognition across claim history
After Vort
- Treaty AI analyses and flags risk in 4.2 seconds — 94% accuracy
- Agent Assist AI cuts handle time by 38%, CSAT up to 4.8/5
- 1,240 claims auto-triaged per week — average 8-minute processing
- AI detects missing clauses across every treaty, every time
- Fraud pattern model flags duplicates and anomalies in real time
Your model. Your data. Your access only.
Once your model is trained and deployed, it belongs entirely to you. No backdoor, no visibility, no interest in what your model knows.
Model Isolation
Your fine-tuned model runs in a dedicated, isolated environment. Never shared, never used to train other systems.
Zero Vort Access
Once deployed, we have no access to your model weights, training data, or inference outputs.
Data Purged After Training
Your training data is securely deleted upon fine-tuning completion. Verifiable at any stage.
Automated Fine-Tuning
Watch your model
train in real time.
Upload your data, choose a base model, and Vort handles the rest — automated preprocessing, fine-tuning, evaluation, and deployment. Full observability at every step.
gpt-4o-mini · Fine-Tune Job #42
company-knowledge-base.jsonl · 2,847 examples
Val Loss
2.1800
↓Accuracy
43.1%
↑Tokens/sec
11,800
Loss curve
Training log
Dataset
2,847 examples
Base Model
GPT-4o Mini
Endpoint
Pending