We build agents that observe, reason, and act, not just respond. Whether the task is detecting fraud, optimizing prices, managing dispatch, or handling inventory, we embed business logic, domain context, and behavioral rules into every agent to produce real-world results.

Leverage advanced LLMs, such as OpenAI, Mistral, and LLaMA, integrated via precisely engineered prompt stacks for your use case. We design agents that follow instructions, summarize information, and engage in dialogue. These agents operate securely, consistently, and cost-effectively.

We extract, interpret, and structure data from PDFs, scanned invoices, contracts, handwritten forms, and inconsistent templates, even when layouts vary. Our agents handle optical character recognition (OCR), natural language processing (NLP), and normalization pipelines to transform unstructured data into structured, actionable inputs.

Go beyond dashboards. We create agents that forecast demand, revenue, downtime, and risk using historical and real-time data. These modules can be deployed as stand-alone applications or integrated into existing business logic to support alerting, resource allocation, and dynamic planning.

Automate human tasks, escalation flows, and approvals by embedding agents within your operations stack. Whether it's form submission, ticket routing, CRM updates, or multi-party notifications, agents respond to structured and unstructured inputs.

We build the full stack, including ingestion, processing, inference, and retraining pipelines. Our infrastructure supports fast inference, compliance, and modular growth — from MVP to enterprise scale — whether deployed in cloud, on-prem, or hybrid environments.

Agents evolve, and we keep them aligned. From sandbox testing to performance monitoring and human-in-the-loop oversight, we ensure that, as your business logic and data change, your AI agents remain accurate, safe, and compliant.