The short answer: Chatbots talk; Agents act. While a chatbot is designed to provide information based on a prompt, an AI Agent is “agentic”—it can reason, use tools, and execute multi-step workflows to achieve a specific goal (like booking a meeting, updating a CRM, or researching a lead) with minimal human intervention.

Think of a Multi-Agent System as a digital department rather than a single worker. Instead of one “do-it-all” AI, we build specialized agents (e.g., a “Researcher,” a “Writer,” and an “Editor”) that collaborate. This modular approach significantly increases accuracy, as agents can peer-review each other’s work and handle much more complex, non-linear tasks.

Reliability is our priority. We implement “Guardrails” and “Verification Loops.” For every action an agent takes, we build in a validation step where a secondary agent or a hard-coded logic check verifies the output against your business rules before the final execution.

Absolutely. We specialize in AI-based software development, meaning our agents are built to “handshake” with your current tech stack. Whether it’s via REST APIs, webhooks, or custom database connectors, our agents are designed to be the glue between your favorite tools.

We are model-agnostic but framework-opinionated. We typically build using LangGraph, CrewAI, or AutoGen for the orchestration layer. For the “brains,” we utilize the best-in-class models (OpenAI’s GPT-4o/o1, Anthropic’s Claude 3.5, or Llama 3) based on your specific latency and cost requirements.

We don’t believe in “black box” AI. For high-stakes actions (like sending an invoice or a client email), we build approval checkpoints. The agent prepares the work and pauses for a human “thumbs up” via Slack, email, or a custom dashboard before proceeding.

No. We prioritize data sovereignty. We utilize enterprise API versions and private VPC deployments where your data is never used to train the underlying foundation models. Your proprietary data stays yours.

Every project is unique, but most clients follow this path:
Discovery & PoC: 2–3 weeks to prove the concept.
Full Production Build: 6–12 weeks depending on the complexity of the multi-agent orchestration and integrations.
Pricing: We offer both project-based pricing for development and monthly retainers for ongoing optimization and maintenance.

You do. Once the project is completed and handed over, you own the custom code, the system architecture, and the specific configurations we built for your business. We believe in building assets for our clients, not just leasing them.

We focus on three “North Star” metrics:
Time-to-Completion: How much faster is the agent than the manual process?
Accuracy Rate: Does the agent meet or exceed human quality standards?
Throughput: How many more tasks can your business handle without adding headcount?