Trusted by industry experts
Build optimized LLM pipelines with SOTA models
A model development pipeline you can trust—from prototyping to deployment. From model output testing and applications to fine-tuning and regulations, we ensure thorough accuracy at every stage of the model development process for models you can trust.
PRECISE PROTOTYPING
We actively explore LLM applications to real business problems with lightweight pilots through:
- •Early vulnerability mapping
- •Diverse stress-testing across use cases like summarization, content generation, code assistance, and customer service
- •Flexible engines using public APIs or open-source models
STEADY INTEGRATION
Our LLM integration into existing workflows is done with minimal disruption, through:
- •Scenario testing, such as thorough customer support triage, internal knowledge assistants, or document classification
- •Governance foundations for responsible deployment
- •Monitoring and evaluation
FLEXIBLE SCALING
Beyond isolated workflows, we scale seamlessly to wider implementations, including:
- •Utilization of multiple applications across departments or business units
- •Model fine-tuning on proprietary data
- •Deployment of hybrid solutions with multiple providers
PRECISE PROTOTYPING
We actively explore LLM applications to real business problems with lightweight pilots through:
- •Early vulnerability mapping
- •Diverse stress-testing across use cases like summarization, content generation, code assistance, and customer service
- •Flexible engines using public APIs or open-source models
STEADY INTEGRATION
Our LLM integration into existing workflows is done with minimal disruption, through:
- •Scenario testing, such as thorough customer support triage, internal knowledge assistants, or document classification
- •Governance foundations for responsible deployment
- •Monitoring and evaluation
FLEXIBLE SCALING
Beyond isolated workflows, we scale seamlessly to wider implementations, including:
- •Utilization of multiple applications across departments or business units
- •Model fine-tuning on proprietary data
- •Deployment of hybrid solutions with multiple providers
Model services for reliable pipelines
Keep your models performing at the highest standards through our expert model services. From defining and training to deploying and continually optimizing, we keep your models running with minimal effort on your end.
DEFINE YOUR MODEL
Pick the model most fitted to you. Select your foundational model and utilize side-by-side multi-model comparisons with tangible metrics, multimodal evaluation customizability, analysis reports, and easy AI prompts for testing.
REFINE YOUR MODEL
Get your model in top-performing shape. Train and fine-tune your model to fit industry-specific evaluation standards, validated against expert evaluation benchmarks and real-time feedback for output accuracy and verification.
DEPLOY AND MONITOR MODEL
Track performance seamlessly. Our monitoring systems track the performance, resource usage, and health of the deployment, coupled with regular maintenance and updates to iteratively improve model performance.
DEFINE YOUR MODEL
Pick the model most fitted to you. Select your foundational model and utilize side-by-side multi-model comparisons with tangible metrics, multimodal evaluation customizability, analysis reports, and easy AI prompts for testing.
REFINE YOUR MODEL
Get your model in top-performing shape. Train and fine-tune your model to fit industry-specific evaluation standards, validated against expert evaluation benchmarks and real-time feedback for output accuracy and verification.
DEPLOY AND MONITOR MODEL
Track performance seamlessly. Our monitoring systems track the performance, resource usage, and health of the deployment, coupled with regular maintenance and updates to iteratively improve model performance.
Reduce bias risks in your models
Address and prevent model biases with continual refinement, test-driven development, and validation frameworks.
ROBUST FEEDBACK LOOP
Ensure accuracy with expert feedback. We combine HITL, RLHF and RLAIF reviews with RLST and SFT techniques to continuously improve and update model operational functionality and accuracy.
AVOID DATA BIAS
Bid goodbye to data biases. Our varied pool of data utilizes real-time, real-world contextual sourcing methods to reduce bias, irrelevance, and inaccuracies.
ACTIVE RISK FRAMEWORKS
Filter with proactive risk frameworks. We conduct thorough screening for sensitive data, rigorous testing and detection, and post-deployment monitoring to minimize any risk and its impact.
ROBUST FEEDBACK LOOP
Ensure accuracy with expert feedback. We combine HITL, RLHF and RLAIF reviews with RLST and SFT techniques to continuously improve and update model operational functionality and accuracy.
AVOID DATA BIAS
Bid goodbye to data biases. Our varied pool of data utilizes real-time, real-world contextual sourcing methods to reduce bias, irrelevance, and inaccuracies.
ACTIVE RISK FRAMEWORKS
Filter with proactive risk frameworks. We conduct thorough screening for sensitive data, rigorous testing and detection, and post-deployment monitoring to minimize any risk and its impact.
Elevate your business' AI performance
Kickstart AI model training and optimization with a complimentary proof of value that aligns with your business objectives.
