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AI Agent Development

Autonomous
AI Agents

Go beyond simple automation. We build goal-oriented AI agents that reason, plan, and execute complex workflows without constant human supervision.

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The Automation Gap

Is Your Business Stuck with
Static Scripts?

Traditional automation breaks the moment rules change. In a dynamic market, you need agents that can adapt and make decisions on the fly.

Fragile Workflows

Automations that fail whenever a website changes its UI or an API returns an unexpected format.

Manual Intervention

Teams spending 40% of their time "babysitting" bots that can't handle edge cases autonomously.

Siloed Reasoning

Tools that can execute tasks but can't understand the "Why" or correlate data from different sources.

Agentic Solutions

We engineer autonomous systems that don't just follow instructions�they achieve goals.

Autonomous Agents

Self-directed AI units that break down high-level objectives into actionable steps and execute them end-to-end.

  • Goal-oriented Planning
  • Self-Correction Loops

Multi-Agent Orchestration

Teams of specialized agents collaborating on complex enterprise projects like software dev or market research.

  • Agent Cooperation Protocols
  • Conflict Resolution

Tool-Use AI

Agents equipped with the ability to use web browsers, APIs, and legacy software to complete real-world tasks.

  • Dynamic API Integration
  • Browser Automation

Reasoning (CoT/ReAct)

Advanced logic frameworks where agents "think" before acting, using Chain-of-Thought and ReAct strategies.

  • Step-by-Step Logic
  • Observation-Action Loops

Long-term Memory Store

Persistent memory that allows agents to remember user preferences, past actions, and company policies over months.

  • Episodic Memory retrieval
  • Semantic Search recall

Human-in-the-Loop

Built-in approval gates where agents pause for human confirmation before executing high-risk or high-cost actions.

  • Safety Constraints
  • Feedback Learning

The Agent Core

We build agents using modern frameworks and secure infrastructure for maximum reliability.

Zero-Latency Inference

Frameworks

LangGraph, LangChain, CrewAI, AutoGen

Cognitive Models

GPT-4o, Claude 3.5 Sonnet, Llama 3

Knowledge Store

Pinecone, Milvus, Weaviate, Redis

Backend

Python, FastAPI, Node.js, GraphQL

Monitoring

LangSmith, Weights & Biases, Arize

Infrastructure

AWS Lambda, Google Cloud Run, Vercel

Safety Layers

LlamaGuard, Nvidia NeMo, Custom Shields

Environment

Docker, Kubernetes, Conda, E2B

Why Trust Constelly
with Your AI Agents?

Building agents is about more than just prompts�it's about engineering multi-step logic, safety guardrails, and reliable tool-use. We deliver production-grade agents that actually work.

Advanced Reasoning

We implement ReAct and Reflexion patterns to ensure agents verify their own work before finalizing actions.

Deep Tool Integration

Expertise in connecting agents to your CRM, ERP, and proprietary databases via secure, authenticated APIs.

Safety & Compliance

Built-in human-in-the-loop approval gates for mission-critical operations and financial transactions.

99.9%

Logic Consistency

100+

Tool Connectors

50%

OpEx Reduction

15ms

Inference Speed

AI Agent FAQ

Everything you need to know about autonomous AI agents and orchestration.

An AI agent is an autonomous system that can use reasoning to achieve a goal. Unlike a chatbot that just talks, an agent can plan steps, use tools (like a browser or database), and execute tasks without needing a human to prompt every move.
Chatbots are Reactive: they wait for a prompt and answer based on retrieved data. Agents are Proactive: they can browse the web to find new info, update your CRM, send emails, and continue working until the "Goal" is met.
It's a "team" of AI agents. For example, one agent could research a topic, another could write a report, and a third could fact-check it. They collaborate and pass info between each other just like a human department.
Yes. We build "Tool Wrappers" for your APIs (Slack, SAP, Salesforce, custom DBs). The agent is then taught how and when to call these tools to fetch or push data.
We implement strict budget caps, token limits, and "Human Approval Gates." For example, an agent can draft an email but requires a human to click "Send," or can plan a trip but requires approval for any transaction over $50.
ReAct stands for "Reason + Act." It's a method where the AI explicitly writes down its thought process, takes an action, observes the result, and then decides the next thought. This transparency greatly reduces errors.
We use "Semantic Memory" (Vector databases) for long-term knowledge and "Stateful Memory" (SQL/Redis) to keep track of the current progress of a specific task or user interaction.
Yes. While we often use cloud APIs for ease of deployment, we also specialize in self-hosted open-source models like Llama 3 for enterprises that require total data sovereignty.
E-commerce (automated returns), Fintech (compliance checks), SaaS (onboarding & support), and HR (resume screening & interview scheduling) typically see the highest immediate impact.
We start with a "Discovery Workshop" to map out your most tedious manual processes. We then build a POC (Proof of Concept) agent in 2 weeks to prove the logic before moving to full production.

Ready to Deploy Intelligent Agents?

Automate complex workflows and enhance decision-making with custom AI agents. empower your business with autonomous systems that learn and adapt.

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