AI Models & Capabilities

We integrate and deploy state-of-the-art AI models tailored to your business needs, from standard APIs to custom-trained solutions.

Large Language Models (LLMs)

Advanced natural language processing for text generation, analysis, and understanding at enterprise scale.

Supported Tasks:

Text generation and summarizationDocument analysis and extractionConversational AI and chatbotsSentiment analysisTranslation and localization

Integration Methods:

REST APIgRPCWebSocket

Business Applications:

  • •Customer support automation
  • •Content generation
  • •Document processing
  • •Knowledge bases

Computer Vision

Image and video analysis systems for object detection, classification, and visual intelligence applications.

Supported Tasks:

Object detection and trackingImage classificationFacial recognitionQuality control inspectionOCR and document scanning

Integration Methods:

REST APIEdge deploymentReal-time streaming

Business Applications:

  • •Manufacturing quality assurance
  • •Security and surveillance
  • •Retail analytics
  • •Medical imaging

Speech-to-Text / Text-to-Speech

High-accuracy voice processing for transcription, voice commands, and natural voice synthesis.

Supported Tasks:

Real-time transcriptionMulti-language supportSpeaker diarizationNatural voice synthesisVoice command processing

Integration Methods:

WebSocketREST APISDKs

Business Applications:

  • •Meeting transcription
  • •Voice assistants
  • •Accessibility features
  • •Call center automation

Predictive Analytics

Statistical and machine learning models for forecasting, trend analysis, and data-driven predictions.

Supported Tasks:

Time series forecastingDemand predictionRisk assessmentCustomer churn predictionFinancial modeling

Integration Methods:

Batch processingReal-time inferenceData pipeline integration

Business Applications:

  • •Supply chain optimization
  • •Financial planning
  • •Resource allocation
  • •Market analysis

Recommendation Systems

Personalization engines that deliver relevant content, products, and suggestions based on user behavior.

Supported Tasks:

Collaborative filteringContent-based recommendationsHybrid recommendation modelsReal-time personalizationA/B testing integration

Integration Methods:

REST APIEvent streamingEmbedded models

Business Applications:

  • •E-commerce personalization
  • •Content platforms
  • •Product discovery
  • •Marketing campaigns

Custom & Fine-Tuned Models

Domain-specific models trained and optimized for your unique business requirements and data.

Supported Tasks:

Custom model architectureTransfer learningDomain adaptationContinuous learning systemsModel compression and optimization

Integration Methods:

All deployment methodsOn-premiseCloudHybrid

Business Applications:

  • •Industry-specific solutions
  • •Proprietary workflows
  • •Specialized data processing
  • •Compliance-focused systems

Flexible Deployment Options

Choose the deployment strategy that best fits your security, performance, and compliance requirements.

Cloud API

Quick integration using managed API endpoints with automatic scaling and minimal infrastructure overhead.

  • • Fastest time to deployment
  • • Automatic scaling
  • • Pay-per-use pricing
  • • Managed updates

On-Premise

Full control with models deployed on your infrastructure for maximum security and data privacy.

  • • Complete data control
  • • No external dependencies
  • • Custom optimizations
  • • Regulatory compliance

Hybrid

Combine cloud and on-premise deployment for optimal balance of performance, cost, and security.

  • • Flexible architecture
  • • Optimized cost structure
  • • Sensitive data on-premise
  • • Scalable cloud resources

Note: Model capabilities and performance characteristics are subject to the specific implementation, data quality, and deployment configuration. We work with industry-standard models and frameworks, with custom training and fine-tuning available based on your requirements. Performance benchmarks are indicative and should be validated in your specific use case during the evaluation phase.