LLM Observability
LLM Observability Services
Monitor, evaluate, and optimize your LLM-based solutions with our comprehensive LLM observability expertise
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Services
Our progressive LLM observability services
We design solutions that are unique to your business requirements
Learn more about our services-
Continuous Performance Tracking
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Automated Alert System
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ML-Powered Anomaly Detector
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Up-To-Date Monitoring & Tracking
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Minute Changes Detection
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Root Cause Identification
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Model Retraining
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Bias Identification
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Bias Mitigation
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Continuous Monitoring
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Data Encryption Practices
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Industry Regulation Compliance
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Proper Measures To Avoid Security Threats
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Centralized Interface
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Custom Functionality
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Well-Organized Data & Reports
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Automated Anomaly Resolution
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Self-Healing Mechanism
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Rollback Functionality
Tech Stack
Our LLM observability tools for resilient & scalable solutions
We continually update our digital infrastructure to match the current requirements
Connect to know more about our tech-stackTo track metrics and notify users in real-time in case of latency or failures
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Prometheus
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Grafana
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Datadog
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Zabbix
To identify, store, analyze and trace logs for issue identification in LLM
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ELK Stack (Elasticsearch, Logstash, Kibana)
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Fluentd
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OpenTelemetry
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Graylog
To discern the reasoning behind the generated LLM output to evaluate its accuracy
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SHAP (SHapley Additive exPlanations),
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Local Interpretable Model-agnostic Explanations
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Captum
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Alibi Explain
Detect and minimize the biases for demographically fair and ethical outcome generation
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IBM AI Fairness 360
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Fairlearn
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Google What-If Tool
These are the key metrics responsible for analyzing the LLM performance in said time
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MLflow
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TensorBoard
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Arize AI
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Fiddler AI
Tools to detect shifts in data distribution or model performance in a time period
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Evidently AI
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WhyLabs
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Monte Carlo Data
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Seldon Core
Tools that make sure that advanced LLM solutions do not compromise data privacy
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Immuta
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Verta AI
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DataRobot
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Azure Security Center
Our approach for accurate LLM observability services
Thorough step-by-step methodology powers our digital solutions
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01
01Consultation - Analysis & Strategization
Assess the existing infrastructure followed by cause hypothesizing and possible cause identification strategies
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02
02Digital Toolkit - Selection & Setup
Decide on the LLM observability tools to integrate that will meet the desired goal (to find the cause) with minimal disruptions
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03
03Observation - Constant Monitoring & Alerts
Set up automated alerts for any discrepancies and monitor the model regularly against key metrics such as accuracy and anomalies
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04
04Resolution - Root Cause Analysis & Remedy
Analyze the identified root cause(s) and possible remedial method to bring it back to its optimal functionality
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05
05Optimization - Insight Generation & Continuous Improvement
Get a detailed report of the issue, observability metrics followed by improvement methodology suggestions for the same
Why Openxcell?
What makes Openxcell a prime LLM observability service provider?
We design business-specific best-in-class solutions
Let us integrate a resilient AI solution-
End-To-End Development Solution
Our team expertly designs an extensive range of progressive solutions using Datadog LLM observability and monitoring services
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Ethical & Secure Development Practices
We ensure transparency throughout the development process for a well-informed and streamlined development process
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15
Years In Business
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1000+
Satisfied Clients
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400+
LLM Experts
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1500+
Successful Projects
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4
Own Products
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95%
Client Retention Rate
Case Study
Our technical expertise at a glance
Digital solutions that helped our clients lead the competitive market
Read All Our Case Studies
JobTatkal - Job platform powered by Generative AI
The platform bridged the gap between recruiters and job seekers with its GPT-powered capabilities. It allowed users to create accurate job descriptions and filter results for relevant profiles. This saves recruiters’ time while candidates benefit from better visibility.
Technology Used
- Primary AI Technology - OpenAI GPT-4
- Frontend - React.js, Next.js
- Backend - Node.js
- Database - MongoDB Atlas
Key Features
- 10x Faster Profile Setup With AI
- Hiring Time Reduced By 91%
- 7x Faster Job Posting
Speed - A leading AI-powered crypto platform to ensure the security of transactions
Speed primarily aims to collaborate with AI to identify and point out suspicious crypto transactions in real time. It provides a secure environment for all users to maintain the proper crypto transactions.
Technology Used
- Data Storage - SQL/NoSQL
- Data Processing- Apache Spark
- ML Frameworks- TensorFlow and Scikit-learn
- Real-time Processing- Apache Kafka
- Deployment- Docker and Kubernetes
Key Features
- AI better the detection rate of fraudulent transactions
- Real-time analysis, minimizing potential losses
- Reduced False Positives
Cribzzzz AI Assistant - A generative AI chatbot designed for real estate
We designed a generative AI solution for Cribzzzz – a platform that connects real estate agents with potential buyers. The solution was designed to handle massive datasets and create a unique yet engaging client experience.
Technology Used
- GPT model – GPT 4
- Server – Microsoft SQL
- Frontend – ReactJS
- Backend - Dotnet Core
- Database – MongoDB
Pointers
- Generative AI-powered search
- Real-time assistance and 24/7 support
- Voice assistance and personalized suggestion
TracknTake - Discover and Deliver all products: Your Local Marketplace at Your Fingertips
The platform empowers users to search for products available in their local area. TracknTake’s beneficial feature is a flexible pick-up, which cuts wait time. It enhances the shopping experience, offering convenience and reducing delivery costs and time
Technology Used
- Backend - Python, PHP Laravel
- Frontend- Android - Kotlin, IOS- Swift
Key Features
- Find products nearby easily
- Simple search
- Instant results
- Hassle-free shopping
Industries
Industry-specific LLM observability and monitoring solutions
Our extensive range of solutions caters to your industry requirements
Get your custom AI solution
Testimonials
Our client’s reviews and perspective
Our client-centric approach and digital expertise help drive clients forward
Resources
For in-depth insights on the current digital scenario
We bring the latest news on technology
Read all blogs here
Frequently asked questions about LLM observability
Answering your queries to help you move forward
LLM monitoring and LLM observability are two concepts used alongside each other. However, the key difference between the two is their primary functionality:
LLM monitoring provides a limited overview of what is the anomaly, while LLM observability offers a holistic perspective by giving a complete picture of why such an anomaly is occurring and what can be possibly done to fix it.
LLM observability ensures that the LLM solution you implemented remains reliable, scalable, and compliant with all ethical regulations for a longer time.
We monitor performance using tools like Datadog, Zabbix, Grafana, and Prometheus. These tools track and notify the user in real-time if there are any anomalies.
A self-healing mechanism is an automated system that resolves issues without human intervention. It is triggered by certain checkpoints, such as performance degradation, model errors, resource scarcity, etc., and automatically restarts, reverts, or adjusts the model parameters as required.
Ready to move forward?
Contact us today to learn more about our AI solutions and start your journey towards enhanced efficiency and growth
