We design and build production-grade LLM-powered systems, AI agents, and orchestration workflows that help businesses automate complex operations, connect internal tools, and make smarter decisions faster.
Modern AI products are no longer limited to simple chat interfaces. Businesses need AI systems that can understand context, work with internal data, trigger workflows, prepare documents, analyze risks, support teams, and connect with existing tools such as Jira, Slack, GitHub, CRM, ERP, Google Workspace, and internal platforms. We build LLM-powered solutions that operate as part of your business infrastructure — with clear user roles, approval flows, audit logs, integrations, and secure deployment.
Build the AI products your business actually needs
We build platforms where AI agents work in the background to analyze data, prepare outputs, detect risks, automate routine tasks, and support business teams without replacing the main user interface.
We develop custom web platforms powered by large language models, including internal copilots, operational dashboards, document assistants, reporting tools, and decision-support systems.
We create retrieval-augmented generation systems that connect LLMs to your company knowledge base, documents, policies, tickets, project data, and internal repositories.
We design multi-agent workflows where specialized agents handle different tasks such as research, analysis, reporting, risk detection, document generation, and approval preparation.
We automate business workflows using AI agents connected to APIs, databases, internal systems, and third-party platforms, while keeping human approval for sensitive actions.
We integrate AI systems with tools such as Jira, GitHub, GitLab, Slack, Google Workspace, CRMs, ERPs, payment systems, customer support tools, and custom internal software.
What we can build for your business
Real problems we solve with AI systems
AI-powered delivery control platform for software agencies and outsourcing companies. The system connects to Jira, GitHub, Slack, and time tracking tools to detect delivery risks, scope creep, blockers, estimate-vs-actual issues, and invoice readiness.
AI workflows for invoice processing, payment approvals, cash flow visibility, document review, anomaly detection, and finance team automation.
AI systems for support teams that classify requests, summarize conversations, suggest next actions, prepare replies, and route cases to the right team members.
Internal knowledge assistants connected to company documents, policies, project data, technical documentation, and operational knowledge.
AI-assisted procurement workflows for vendor comparison, contract review, approval routing, renewal reminders, and spend visibility.
Systems that read, structure, summarize, and generate business documents such as reports, proposals, contracts, change requests, meeting summaries, and compliance materials.
We combine modern web development, backend engineering, and AI orchestration technologies to build reliable, scalable, and secure AI-powered platforms. Frontend: React, Next.js, TypeScript. Backend: Node.js, NestJS, Python, FastAPI. Databases: PostgreSQL, pgvector, MongoDB, Redis. AI & LLMs: OpenAI, Anthropic, Azure AI, local/self-hosted models. Agent Orchestration: LangGraph, Deep Agents, custom workflow engines. Search & Retrieval: RAG, embeddings, vector search, hybrid search. Integrations: Jira, GitHub, GitLab, Slack, Google Workspace, CRM, ERP, internal APIs. Infrastructure: Docker, Hetzner, AWS, Azure, CI/CD pipelines. Security: RBAC, audit logs, approval flows, encrypted secrets, tenant isolation.
A structured process from discovery to production
We analyze your business process, user roles, data sources, integrations, and automation opportunities.
We define the right architecture: LLM provider, agent structure, orchestration logic, data flow, security model, and deployment approach.
We build a focused prototype to validate the core AI workflow before investing in a full-scale platform.
We develop the web platform, backend, AI agent service, database, integrations, dashboards, and approval flows.
We test AI outputs, improve prompts, validate structured responses, measure quality, and optimize cost and performance.
We deploy the solution to your cloud or self-hosted infrastructure and provide ongoing support, monitoring, and improvements.
Engineering-first approach to AI product development
We do not treat AI as a standalone chatbot. We build complete software products where AI is integrated into real business workflows, dashboards, APIs, and approval processes.
Our team can handle the full product lifecycle: UI/UX, frontend, backend, AI services, integrations, infrastructure, deployment, and long-term support.
We connect AI systems with the tools businesses already use — from project management and communication platforms to CRMs, ERPs, payment systems, and internal software.
We design AI workflows with human approval, audit logs, role-based access, and safe integration boundaries, so automation remains controlled and transparent.
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