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CUSTOM AI MODEL LAB
Your own frontier AI lab, built inside your company. A model for every company, and every model yours.
No single general model fits every business. General models get you most of the way; the final 20% of customization is what makes AI actually work: lower cost, lower latency, or better quality on the criteria only your business understands.
Customized intelligence starts from your business, your data and your judgment. yconic builds that capability inside your company, then steps aside. You keep the models, the data and the team.
You own the weights and the data. Nothing trained for you flows into anyone else's model or product, and the team we help you build stays yours.
A model trained for one task outperforms a general model on that task, with lower cost and lower latency. Right-sized intelligence, not rented scale.
Domain expertise lives in documents, images, audio, video and sensor data. Your models are built to learn from all of it.
Every result is measured against your own baseline on the same workflow, before and after.
Embedding models trained on your catalog, documents and internal terminology. Search, retrieval and recommendations return what people mean, not just the words they typed.
Measured per engagement against your baselineModels that read, extract from and classify scans, forms and invoices at expert-level accuracy, for a small share of the cost and latency of frontier models.
Measured per engagement against your baselineAgents trained with reinforcement learning inside your own environments, so they plan ahead, recover from errors and finish multi-step work end to end.
Measured per engagement against your baselineModels that understand and generate across every kind of data your business uses: text, documents, images, audio, video, 3D and sensor data.
Measured per engagement against your baselineOne end-to-end system takes your company from its own data to a model running in production, then keeps improving it.
Synthetic and curated training data, built from your domain.
Reinforcement-learning environments whose rewards are the business outcomes you care about.
Automated experiments search for the best training recipe and keep only what beats the baseline.
After deployment, the model keeps improving from real-world use.
When you own the model and the hardware it runs on, intelligence stops being a metered utility. There is no per-token bill, so your agents can work around the clock, run multi-hour jobs and try hundreds of experiments overnight, at a fixed, predictable cost.
For sovereign and AI-native enterprises, that changes what's possible:
Typical outcomes on high-volume workflows, measured against your own baseline.
Illustrative examples based on typical manual handling times for each workflow. Every yconic engagement is measured against your own baseline on the same workflow, before and after.
Start with one workflow. We measure your baseline, train a model you own, and prove the result.
Your models. Your data. Your team.