Build, fine-tune, and monitor domain-expert models with a complete MLOps suite.
A full AI engineering workspace — dataset management, fine-tuning, evaluation, A/B testing, and dashboards — without any third-party ML platforms.
AI Engineering Tools
CandexAI Platform Capability
87%
Avg domain accuracy
5–8x
Cost reduction vs GPT-4
10 days
Fine-tune to production
100%
On-prem, no external APIs
How It Works
What AI Engineering Tools does for your enterprise
Generic LLMs were not trained on your data. CandexAI's AI Engineering Tools give your team the complete toolchain to take raw domain data and produce a production-grade expert model in under 2 weeks. Dataset curation, labelling, fine-tuning runs, evaluation harnesses, model versioning, and live cost/accuracy dashboards — all within your private infrastructure. No external APIs, no model weights leaving your servers.
Technical Specifications
Real-World Impact
AI Engineering Tools in action
Domain Expert Model Training
87% MMLU accuracy
Fine-tune a base model on your industry corpus. Outperform GPT-4 on domain tasks at 10% of the API cost.
Model Performance Monitoring
0 undetected regressions
Automated eval harnesses flag accuracy degradation before it reaches production users.
Cost Optimisation
5–8x cost reduction
Right-size your model to the task. A 7B domain expert often beats GPT-4 on precision tasks at a fraction of the cost.
Regulatory Compliance Testing
100% audit-ready
Automated test suites validate model outputs against your regulatory constraints before every deployment.
“Our models are fine-tuned on 10 years of our own contract corpus. The accuracy difference vs a generic LLM is night and day.”
— Head of AI, Big-4 Law Firm
Explore More
Other platform capabilities
See It Live
Ready to deploy AI Engineering Tools?
Book a 30-minute technical session. We'll show you exactly how AI Engineering Tools works for your specific use case — live, not a slide deck.