We help you select the right model architecture, GPT, diffusion models, transformers, or custom ensembles, based on your use case, data type, and performance goals.
We help you select the right model architecture, GPT, diffusion models, transformers, or custom ensembles, based on your use case, data type, and performance goals.
We curate, label, and engineer your datasets to ensure clean, relevant, and high-quality training inputs. Our pipelines ensure scalable training with versioning, governance, and compliance in place.
We fine-tune foundation models on your proprietary data to boost accuracy, relevance, and performance, while reducing hallucinations and bias.
We evaluate models against real-world tasks using precision, recall, F1-score, and other relevant benchmarks. Responsible AI is core - we test for fairness, robustness, and explainability.
We don’t just build models, we deploy them to production. We manage integration into your apps, monitor real-time performance, and continuously improve based on feedback and data drift.
Our teams include data scientists, ML engineers, and researchers with experience across model types and industries.
Our teams include data scientists, ML engineers, and researchers with experience across model types and industries.
We help you harness the value of your proprietary data with secure, compliant AI training.
We help you harness the value of your proprietary data with secure, compliant AI training.
Bias mitigation, explainability, and ethical practices are integrated into every model we build.
Bias mitigation, explainability, and ethical practices are integrated into every model we build.
From concept to code to cloud, we manage the full lifecycle of AI model development.
From concept to code to cloud, we manage the full lifecycle of AI model development.