AI Agents That Automate Any Task in Your Business

We build AI agents that go far beyond chatbots. Conversational agents on WhatsApp, AI-powered phone calls, real-time video surveillance with detection, document analysis with computer vision, voice transcription, automated scoring and decisions, all running on self-hosted GPU infrastructure for maximum privacy, performance, and zero per-request costs. And we start with skin in the game, your first automation built in 2 weeks, paid only if it proves profitable.

What Our AI Agents Can Do

• Self-Hosted AI Infrastructure: We deploy AI models on dedicated NVIDIA GPU servers, so your data never leaves your infrastructure. Full control, zero per-request API costs, and enterprise-grade performance with multiple models running simultaneously.
• Conversational Agents on Any Channel: AI agents that communicate naturally through WhatsApp, web chat, email, or any messaging platform. They manage multi-stage conversations with intelligent memory, qualify leads, collect data, and handle hundreds of simultaneous interactions.
• Computer Vision & Document Analysis: Multimodal AI models that analyze images, PDFs, and video in real-time. From identifying documents (IDs, contracts, invoices) and extracting data, to classifying products, detecting anomalies, or reading text from any visual source.
• AI Phone Calls & Voice Agents: AI agents that make and receive phone calls autonomously. They handle appointment scheduling, customer follow-ups, surveys, lead qualification by phone, and any repetitive call with natural voice and real-time speech processing.
• Real-Time Video Surveillance & Detection: AI systems connected to cameras that monitor 24/7 and detect specific events, people entering restricted areas, suspicious activity, object recognition, vehicle counting, or any custom detection rule, with instant automated alerts.
• Multi-Provider Resilient Architecture: Automatic fallback between self-hosted models (Ollama) and cloud providers (Groq, OpenAI, Anthropic), with retries, circuit breakers, and real-time failure alerts. We combine the best of each provider for each task, frontier models like Claude Opus 5 for the hardest reasoning and long-horizon agents, local models for privacy, and cloud for burst capacity.

How We Build Your AI Agent

1. Task & Workflow Analysis: We map every step of the process to automate, what does your team do manually? What decisions do they make? What data do they handle? Whether it is phone calls, document review, surveillance, or customer interactions, this becomes the blueprint for your AI agent.
2. Infrastructure & Model Selection: We size GPU hardware, select the optimal models for each task (chat, vision, voice, detection), and configure the multi-provider architecture with fallback chains and CUDA-level performance optimization.
3. AI Logic & Prompt Engineering: We design the AI decision logic, build dynamic prompts that adapt to context, configure agent personality and behavior rules, and implement memory and state management systems so the agent operates autonomously.
4. Development & Integration: We build the backend infrastructure, connect to your systems (CRMs, APIs, databases, cameras, phone systems), and implement the complete pipelines, text, voice, vision, and detection, all with reactive architecture for maximum concurrency.
5. Testing with Real Scenarios: We test the full pipeline end-to-end with real-world conditions, conversations, calls, document submissions, video feeds, edge cases, and load testing to validate capacity under peak demand.
6. Monitoring & Continuous Optimization: We deploy real-time monitoring for response times, model performance, detection accuracy, and failure rates. Continuous analysis allows us to refine prompts, improve precision, and adapt the agent to new requirements.

AI Technologies We Use

From self-hosted open-source models to cloud APIs, we choose the right tool for each task.

Frequently Asked Questions

How does the 2-week pilot work?

It's how we start with every new client. We analyze your whole business, pick the automation with the highest potential return, and implement it over two weeks on your real operation, with success metrics agreed upfront. You only pay for it if the numbers prove it profitable, and then we continue automating the rest of your business. The first consultation is free.

What types of tasks can you automate with AI?

Virtually any repetitive or rule-based task, customer conversations via WhatsApp or web chat, outbound and inbound phone calls, document collection and validation with computer vision, real-time video surveillance with event detection, lead qualification and scoring, appointment scheduling, data extraction from any source, and custom pipelines tailored to your specific workflow.

Can the AI make and receive real phone calls?

Yes. We build voice AI agents that make and receive phone calls with natural speech. They handle tasks like appointment confirmations, customer follow-ups, satisfaction surveys, lead qualification, and any scripted interaction, with real-time speech-to-text and text-to-speech processing. The agent understands context, responds naturally, and escalates to a human only when needed.

How does AI-powered video surveillance work?

We connect AI models (like YOLO for object detection) to your camera feeds for 24/7 real-time analysis. The system can detect people entering restricted areas, recognize specific objects or vehicles, identify suspicious activity patterns, count foot traffic, and trigger instant alerts via email, SMS, or any webhook. All processing runs on local GPU hardware for speed and privacy. No cloud video streaming required.

What does "self-hosted AI" mean and why does it matter?

Self-hosted AI means running AI models on your own GPU servers instead of relying solely on cloud APIs. This gives you full data privacy (nothing leaves your infrastructure), eliminates per-request API costs, ensures consistent performance regardless of external outages, and allows customizing models to your specific needs. We set up NVIDIA GPU servers with Ollama and cloud fallback for maximum reliability.

Which AI models do you use, and do you support Claude Opus 5?

Yes. We integrate frontier models like Claude Opus 5 (Anthropic), GPT and Gemini, alongside self-hosted open models (Qwen, Llama, Mistral, LLaVA) on our own GPUs. We route each request to the right model, claude Opus 5 for the hardest reasoning, long-horizon agents and computer-use tasks where its leading SWE-bench Verified and Frontier-Bench scores pay off, and cheaper or self-hosted models for high-volume, latency-sensitive traffic. We benchmark candidates on your real prompts before committing.

How do you ensure quality and reliability?

Multiple layers, configurable agent behavior (tone, rules, personality), intelligent memory that prevents errors and repetitions, response validation before sending, fallback chains across multiple AI providers so the system always works, real-time monitoring of performance metrics, and automated alerts when anomalies are detected.

How much does it cost compared to cloud AI APIs?

With self-hosted infrastructure, you pay a fixed hardware cost (GPU server) instead of per-request pricing that scales with usage. For businesses with moderate to high volume, this typically reduces AI costs by 70-90% compared to cloud APIs, while giving you better latency, full privacy, and no dependency on third-party availability. We also offer hybrid setups that use self-hosted for base load and cloud for peak demand.