From product ideas to complex business workflows, we design and build practical software, AI systems and automations that take real work from problem to production.
These are examples of problems we solve. We also build products, internal tools and custom systems around what your business needs.
Lead research, qualification, proposal generation, CRM enrichment and follow-ups connected to the way your revenue team already works.
Support systems that retrieve knowledge, classify tickets, understand customer history, draft responses and escalate exceptions.
Document processing, approvals, reporting, reconciliation and internal tools that move structured work into the systems that need it.
RAG systems, enterprise search, knowledge bases, analytics and decision support grounded in your business context.
You do not need to know which technology you need. Bring us the idea, problem or system, and we will define what to build.
We turn your concept into a working product.
We turn manual or fragmented work into an intelligent system.
We add features, AI, integrations or modernize it.
We turn experiments into reliable production software.
Attiv AI connects models to the systems where work actually happens. Each layer is observable, controllable and connected to a real business process.
Sometimes the right answer is a database query, API integration, conventional software or workflow automation. We use AI where reasoning creates leverage.
Reference examples that show how an idea or manual process becomes useful software.
Sales teams research leads, check CRM data and decide who should be contacted.
Researches the lead, retrieves CRM context, evaluates criteria, enriches the CRM, routes the lead and requests approval where required.
Employees read documents manually and copy important fields into downstream systems.
Documents are ingested, structured data is extracted, anomalies are flagged and approved data is sent downstream.
Support agents search across multiple internal systems before responding.
Retrieves knowledge, checks customer context, drafts or executes the right action and escalates exceptions.
A single workspace for a growing team to manage requests, approvals and operational handoffs.
A focused product with role-based views, workflow logic, integrations and an AI layer where it helps people decide and act.
We move from process diagnosis to a production system with clear decisions, deliverables and control points.
Map the business process and identify high-value opportunities.
Process map + AI opportunity assessmentDesign integrations, data flow, security boundaries and human-control points.
Solution architecture + implementation planDevelop the system and integrate it with the existing technology stack.
Working production systemDeploy, monitor and document the system for the people who operate it.
Production deployment + observability + documentationImprove reliability, cost and usefulness from real system behavior.
Evaluation loop + system improvementsWe choose models, infrastructure and integrations according to the problem, then make the system understandable to the team operating it.
OpenAI, Anthropic, Gemini, Hugging Face
RAG, vector search, embeddings, MCP, agentic workflows
Python, Django, FastAPI
PostgreSQL, Redis, vector databases
AWS, Azure, GCP
Docker, Kubernetes, Terraform
n8n and workflow integrations
Engineering decisions that keep software useful after the demo.
We solve the underlying system problem, not just the visible symptom.
Systems are designed around reliability, observability, security and maintainability.
We select models and infrastructure according to the problem rather than forcing one technology everywhere.
Systems can act autonomously where appropriate, while sensitive workflows retain explicit human approval.
Everything you need to know before we start building.
Bring us a product idea, business problem, existing system or AI prototype. We'll help define what should be built and how to take it to production.