Operational Expertise
In the dynamic landscape of AI, ML, and Data, innovation alone is not the pinnacle of success. Operational excellence emerges as the unsung hero, transforming groundbreaking ideas into tangible, real-world solutions.
Benefits
- At Avkalan.ai, we champion this blend of innovation and reliability. Our commitment goes beyond crafting advanced algorithms; we ensure that each model, each byte of data, operates seamlessly in the crucible of real-world challenges
- By integrating state-of-the-art observability tools, cutting-edge MLOps practices, and rigorous production maintenance, we ensure that our AI and ML deployments aren’t just flashes of brilliance but enduring beacons of excellence
- Dive deep with us into a world where innovation meets impeccable operation, where ideas are fortified with robustness, and where your business doesn’t just lead but sets new benchmarks of operational excellence
How Can We Help ?
End-to-End Observability
Gain full visibility into your AI and ML models. Monitor model performance, data inputs, and outputs in real-time, ensuring consistent quality and rapid issue identification.
MLOps Implementation
Streamline the lifecycle of machine learning models from development to deployment. Implement best practices for versioning, testing, and monitoring to ensure smooth operations.
LLMOps Solutions
Specifically tailored for large language models, our LLMOps practices guarantee optimal performance, scalability, and maintenance of these intricate systems.
Production
Model Maintenance
Ensure your deployed models remain relevant and effective. Regularly update models, incorporating new data and feedback, and adapt to changing environments for continuous performance.
Model Validation
& Guardrails
Implement safeguards to ensure AI outputs remain within defined boundaries, providing consistent quality while minimising risks.
AutoML &
Model Optimisation
Leverage automated machine learning to continuously refine and optimise models, ensuring peak performance and resource efficiency.
AI Infrastructure Management
Ensure your AI solutions have the hardware and software infrastructure they need. From GPUs to cloud solutions, we ensure your systems are robust and scalable.
Bias Detection
& Fairness Checks
Regularly assess AI models for biases and unfair decisions. Implement solutions to rectify and maintain models that deliver fair outcomes.
Data Lifecycle Management
Fairness Checks
Oversee the entire lifecycle of your data assets, from collection and storage to disposal, ensuring compliance, security, and availability at each stage.
Scalability &
Performance Tuning
Optimise AI solutions for varying loads, ensuring consistent performance whether you’re handling a few requests or a few million.
Post-deployment Monitoring &
Feedback Loop
Continuously gather feedback from AI deployments, ensuring that models are iteratively improved based on real-world performance.
AIOps
Use Intelligent monitoring of your current operation through predictive analysis, anomaly detection, and automation. We can help you with industry tools like Datadog, Dynatrace, Splunk etc.
Model Drift Monitoring
Monitor for shifts in model performance due to changes in input data over time. Implement strategies to recalibrate models as needed.
Continuous
Integration & Deployment
(CI/CD) for AI
Automate the testing and deployment of AI models, ensuring that models are consistently updated and validated before they go live.
- Dive deep with us into a world where innovation meets impeccable operation, where ideas are fortified with robustness, and where your business doesn’t just lead but sets new benchmarks of operational excellence
How Can We Help ?
End-to-End Observability
Gain full visibility into your AI and ML models. Monitor model performance, data inputs, and outputs in real-time, ensuring consistent quality and rapid issue identification.
MLOps Implementation
Streamline the lifecycle of machine learning models from development to deployment. Implement best practices for versioning, testing, and monitoring to ensure smooth operations.
LLMOps Solutions
Specifically tailored for large language models, our LLMOps practices guarantee optimal performance, scalability, and maintenance of these intricate systems.
Production
Model Maintenance
Ensure your deployed models remain relevant and effective. Regularly update models, incorporating new data and feedback, and adapt to changing environments for continuous performance.
Model Validation
& Guardrails
Implement safeguards to ensure AI outputs remain within defined boundaries, providing consistent quality while minimising risks.
AutoML &
Model Optimisation
Leverage automated machine learning to continuously refine and optimise models, ensuring peak performance and resource efficiency.
AI Infrastructure Management
Ensure your AI solutions have the hardware and software infrastructure they need. From GPUs to cloud solutions, we ensure your systems are robust and scalable.
Bias Detection
& Fairness Checks
Regularly assess AI models for biases and unfair decisions. Implement solutions to rectify and maintain models that deliver fair outcomes.
Data Lifecycle Management
Fairness Checks
Oversee the entire lifecycle of your data assets, from collection and storage to disposal, ensuring compliance, security, and availability at each stage.
Scalability &
Performance Tuning
Optimise AI solutions for varying loads, ensuring consistent performance whether you’re handling a few requests or a few million.
Post-deployment Monitoring &
Feedback Loop
Continuously gather feedback from AI deployments, ensuring that models are iteratively improved based on real-world performance.
AIOps
Use Intelligent monitoring of your current operation through predictive analysis, anomaly detection, and automation. We can help you with industry tools like Datadog, Dynatrace, Splunk etc.
Model Drift Monitoring
Monitor for shifts in model performance due to changes in input data over time. Implement strategies to recalibrate models as needed.
Continuous
Integration & Deployment
(CI/CD) for AI
Automate the testing and deployment of AI models, ensuring that models are consistently updated and validated before they go live.
Our Methodology
Discovery
- Understand business priorities and pain points.
- Identify AI opportunities that align with business objectives.
- Assess Data landscape with infrastructure and technical capabilities.
- Pilot low-cost, small features for feasibility assessment.
Planning
- Evaluate AI solutions based on available data and infrastructure.
- Assess potential benefits, risks and limitations.
- Cost-benefit analysis
Execution
- Design and Develop AI models using SOTA techniques and frameworks.
- Ethical / Regulatory assessments for conformity.
- Ethical / Regulatory assessments for conformity.
Monitoring
- Deploy AI solutions in a controlled environment.
- Implement monitoring systems to track model performance and data drift.
- Address potential issues promptly and proactively.
Engagement Model
Staff Augmentation
- Seamless Integration: We seamlessly integrate skilled professionals into your team.
- Short-Term Resource Boost: Ideal for temporary projects, eliminating the need for full-time hires.
- Cost-Effective Expertise: Efficiently manage costs while accessing proven expertise and filling skill gaps.
F2B Project Execution
- Project Ownership: We assume full responsibility for specific projects, complete with predefined budgets and timelines.
- Crystal-Clear Scope: Project scopes, timelines, and milestones are precisely defined upfront.
- Budget Precision: Ideally suited for projects with well-understood requirements and fixed budgets.
Managed Service
- Holistic IT Management: Delegate the management of specific IT functions or your entire IT environment to us.
- Diverse Service Spectrum: Our services span infrastructure management, cybersecurity, and software updates.
- Financial Predictability: Enjoy consistent, predictable monthly costs, enabling you to focus on core business operations.