As a new-generation AI Agent consulting firm, PX42 has architected a technology ecosystem specifically to support the design, development, deployment and management of intelligent autonomous systems.

PX42 leverages leading orchestration frameworks and multi-agent systems to build autonomous, collaborative agents that reason, plan, and take action in dynamic environments.

We use tools like LangChain, CrewAI, LangGraph, and OpenDevin to orchestrate complex workflows. These frameworks allow PX42 agents to sequence tasks, collaborate with other agents, and interact with APIs and users. Our internal PXAgent SDK ensures scalable, reusable, and modular architecture across enterprise deployments.

  We integrate cutting-edge large language models (LLMs) and embedding engines to power contextual understanding and natural language reasoning across agent systems.

PX42 supports models such as GPT-4o, Claude, LLaMA 3, Mistral, and Cohere, paired with vector databases like Weaviate, Pinecone, and LanceDB. This enables fast, accurate retrieval-augmented generation (RAG), memory, and grounding—so agents deliver nuanced, real-time decisions and answers with full context.

  Our data foundation supports scalable, secure, and real-time analytics pipelines that feed intelligence into every agent interaction.

We utilize tools like Airbyte, dbt, and Apache Spark for ingestion and transformation, along with modern lakehouses such as Snowflake and Databricks. Feature stores like Feast enable agents to use consistent, production-ready data pipelines across diverse environments.

 PX42 streamlines the lifecycle of AI models—from experimentation to monitoring—with a robust, automated MLOps pipeline.

We use MLflow, Metaflow, and Kubeflow for model development and deployment, along with Arize and WhyLabs for observability and performance monitoring. Our workflows ensure that AI models stay accurate, aligned, and auditable across time and use cases.

  We deploy AI Agent ecosystems using secure, cloud-native infrastructure-as-code pipelines built for resilience and scalability.

PX42 relies on Terraform, Pulumi, and Kubernetes to automate infrastructure across AWS, GCP, and Azure. We secure environments with HashiCorp Vault, and ensure compliance and observability from deployment through runtime.

  We build elegant, responsive user experiences that connect humans and agents seamlessly across devices and interfaces.

Using React, Next.js, and Tailwind, we create rich web UIs and interactive agent dashboards. For LLM-native applications, we also develop real-time chat interfaces, visual decision graphs, and low-code user experiences using tools like Streamlit and custom React components.

  Our agents are action-oriented—powered by modular toolkits that enable them to interact with the real world.

PX42 agents use function calling, real-time API access, and external tool chaining through LangChain Tools, GraphSignal, and internally developed microservices. Agents can browse the web, execute transactions, retrieve documents, and trigger workflows across your ecosystem.

  We engineer trust into every layer of our stack, ensuring your AI systems are secure, auditable, and compliant by design.

We implement Zero Trust Architecture, SSO/SAML, RBAC, and encryption in transit and at rest. Governance frameworks such as AI Fairness 360, audit trails, and policy enforcement modules ensure alignment with GDPR, HIPAA, SOC 2, and other enterprise standards.

PX42 delivers deep observability across every layer of the AI Agent lifecycle—ensuring that performance, accuracy, and trust are continuously maintained.

We integrate advanced observability tooling to give enterprises real-time visibility into how agents operate, why they make decisions, and where optimizations are needed. Our stack includes solutions like Arize AI, WhyLabs, Prometheus, OpenTelemetry, and GraphSignal, providing granular insights into agent behavior, latency, model drift, prompt effectiveness, and data anomalies. These observability pipelines are connected directly to dashboards and alerting systems, so stakeholders can monitor KPIs, root-cause errors, and measure business impact in real time. Whether it’s debugging an orchestration chain, optimizing a prompt, or auditing a decision path for compliance—PX42 ensures you never lose sight of how your intelligent systems are performing.