Technology built for intelligent systems at scale
Bengals Inc. designs and engineers AI-first platforms that move from research to production—combining modern machine learning, agentic systems, and cloud-native infrastructure.
AI & Machine Learning
- Large Language Models: OpenAI, Gemini, Claude, open-source LLMs, prompt engineering, fine-tuning, evaluation.
- Agentic Systems: Tool-using agents, planners, memory, multi-agent coordination, MCP-based architectures.
- Embeddings & Retrieval: Vector databases, semantic search, RAG pipelines, hybrid retrieval strategies.
- Data & Labeling: Dataset curation, labeling workflows, quality control, feedback loops.
- Learning Foundations: Neural networks, backpropagation, gradient descent, feature extraction, model optimization.
Cloud & Infrastructure
- Cloud Platforms: AWS, Azure, GCP with multi-account and multi-region strategies.
- Infrastructure as Code: Terraform, CloudFormation, automated provisioning and drift control.
- Containers & Orchestration: Docker, Kubernetes, service meshes, CI/CD pipelines.
- Reliability & Observability: Logging, metrics, tracing, alerting, cost optimization.
IoT, Edge & Data Pipelines
- IoT Integration: Secure device onboarding, telemetry ingestion, real-time processing.
- Streaming Systems: Event-driven architectures, message queues, asynchronous processing.
- Data Platforms: Warehouses, feature stores, analytics-ready pipelines.
Architecture Philosophy
- Modular: Clear service boundaries, replaceable components, composable systems.
- Secure: Least-privilege access, identity-first design, compliance-aware architecture.
- Scalable: Horizontally scalable services, async workflows, cloud-native primitives.