How We Build

Our technology choices are intentional. From legacy BPM to cutting-edge agent frameworks, every tool serves our mission of engineering the intelligent enterprise.

The RAG Pipeline

From raw documents to autonomous action — this is how our systems think. Every layer is purpose-built for enterprise reliability.

01 Ingest

  • Unstructured Docs: Retriv.ai

02 Embed

  • Vector Database: Pinecone / Weaviate

03 Retrieve

  • Semantic Search: LlamaIndex

04 Reason

  • Agent Orchestration: LangChain / LangGraph

05 Act

  • System Execution: BPM / API

Our Technology Landscape

Adopt

Trial

Assess

Pega

  • Description: Enterprise BPM and decisioning platform — our heritage and competitive moat.

Core Engineering

  • Appian: Low-code BPM platform for rapid enterprise workflow automation.
  • ServiceNow: IT service management and digital workflows for enterprise operations.
  • React: Frontend framework powering our product UIs and enterprise dashboards.
  • Next.js: Full-stack React framework for production-grade web applications.
  • Node.js: Server-side JavaScript runtime for scalable backend services.

AI & Agents

  • LangChain: Framework for orchestrating complex cognitive architectures and LLM workflows.
  • LangGraph: Stateful, multi-turn agent conversations that maintain context across complex workflows.
  • LlamaIndex: High-precision data retrieval in enterprise knowledge bases for RAG systems.
  • OpenAI / Claude: Foundation LLMs for reasoning, generation, and embeddings.
  • CrewAI: Multi-agent orchestration framework for complex autonomous workflows.
  • Autogen: Microsoft's multi-agent conversation framework for collaborative AI tasks.

Data & Storage

  • Pinecone: Vector database for high-performance similarity search in RAG pipelines.
  • Weaviate: Open-source vector database with built-in vectorization modules.
  • Firebase: Real-time database and auth platform powering Phygitix.ai.
  • PostgreSQL: Enterprise relational database for structured data and analytics.
  • Kafka: Event streaming platform for real-time data integration between systems.

Cloud & DevOps

  • AWS: Primary cloud infrastructure for enterprise client deployments.
  • GCP: Cloud platform with strong AI/ML services integration.
  • Vercel: Edge deployment platform for Next.js applications and static sites.
  • Docker: Container platform for consistent deployment across environments.
  • Kubernetes: Container orchestration for scaling production AI workloads.