Autonomous Agents
Give your business the power to think, decide, and act autonomously. Our AI agents go far beyond basic bots by executing tasks with memory, reasoning, and real-world context. From managing inboxes and scheduling meetings to handling backend workflows and triggering actions across APIs, these agents function like skilled teammates. They’re faster, more consistent, and always available. Designed around your business logic and tools, they operate independently, make informed decisions in real time, and stay perfectly in sync with your operations.
What You Get
- Email agents that read, respond, flag, and route messages based on urgency and intent
- Smart schedulers that handle meeting bookings, follow-ups, and conflict resolution
- Workflow agents that automate onboarding, approvals, reporting, and CRM tasks
- API-connected agents that fetch data, update records, and trigger real-time actions
- emory-based logic for smarter decisions using past interactions and context
- Proactive follow-ups and reminders when tasks stall or deadlines are missed
Built with the Right Stack
LLMs
We integrate a broad range of foundation models tailored for autonomous execution. These include GPT-class APIs, Claude, Gemini, LLaMA, Mistral, and specialized models like Command-R, Flan-T5, and T5 for task-specific reasoning. For lightweight or regionally optimized needs, we support MPT, Falcon, and multilingual models such as ChatGLM3, Baichuan, Yi, and InternLM.
For teams with compliance or control requirements, we deploy models in private, hybrid, or on-prem environments using vLLM, TGI, LLM Foundry, or containerized APIs. Our architecture supports model versioning, fine-tuning, and scaling across workflows ensuring your agents stay aligned with evolving business logic and model capabilities.
Agent Frameworks
We build autonomous systems using a globally relevant stack of orchestration frameworks including LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, and Haystack. These enable agent memory, reasoning loops, API interaction, retrieval integration, and multi-agent collaboration across diverse tools and workflows.
For enterprise-grade autonomy, we implement ReAct-style logic, dynamic tool use, function calling, and retrieval-augmented planning. We also support event-driven and long-running agents using Transformers Agents, OpenAgents, or custom logic pipelines depending on your infrastructure and runtime needs.
Execution & APIs
Our agents are built to securely interact with your tools, data, and systems through REST APIs, SDKs, GraphQL, and function-calling layers. They can read from and write to calendars, CRMs, email platforms, task managers, databases, cloud services, and internal APIs enabling true end-to-end automation.
We support secure authentication flows including OAuth2, JWT, API keys, and IAM roles, with built-in handling for rate limiting, timeouts, retries, and graceful fallbacks. Agents can trigger conditional workflows, call external services, and pass state across steps ensuring they operate reliably in complex, multi-system environments.
Workflow Orchestration
We orchestrate agents into multi-step workflows triggered by schedules, user actions, or system events. Our architecture supports tools like Temporal, Prefect, Airflow, Dagster, and AWS Step Functions to manage long-running processes with full state management, retries, and audit trails. This ensures agents can coordinate across systems, track progress, and complete tasks without human oversight even over hours or days.
Hosted Where You Need It
We support full deployment flexibility to meet your compliance, latency, and scaling needs. Agents can run on:
- AWS Bedrock, Lambda, and Fargate for scalable, serverless compute
- Amazon ECS, EKS, or Kubernetes for containerized workloads
- Private cloud or VPC-isolated environments for security-sensitive use cases
- Hugging Face Spaces or custom on-prem setups when control over infrastructure is essential
Our deployments are designed for observability, with optional support for VPC peering, IAM roles, encrypted storage, and custom monitoring pipelines.
Deployment
Agents can be deployed in multiple execution modes depending on your workflow and performance needs:
- Continuous always running and ready to respond or act in real time
- On-Demand triggered by user input, API calls, or UI events
- Scheduled activated at set intervals for recurring tasks and reporting
- Event-Driven launched via webhooks, database updates, system events, or message queues (e.g. Kafka, SQS)
Each deployment is containerized and observable, with support for auto-scaling, retries, logging, and lifecycle management ensuring agents perform reliably under real-world conditions.
