We build systems and much more
Miscat.tech działa na architekturze klasy enterprise – dzięki czemu tworzymy pełnoskalowe oprogramowanie, szybkie strony i automatyzacje AI, które rosną razem z Twoją firmą.
Works with the tools you already use
You don't have to change the software in your company. We tie your current ecosystem (ERP, mailboxes, messengers, banking and AI models) into one automated flow.
We connect hundreds of spreadsheets, ERP systems and mailboxes into one automated flow, taking manual work off your team in every department.
Our deployments and products running in production
Investment Portal, 1:1 Prebooking & MCP Server
Concrete processes we automate and build
From automated document flow and two-way ERP/CRM integrations to private AI deployments and fast B2B websites.
Companies rely na Miscat.tech
Zespoły operacyjne i zarządy codziennie korzystają z architektury Miscat.tech, aby eliminować ręczną pracę, przyspieszać obieg danych i zamieniać plany w działające systemy.
- Less manual work on reports and data entry
- 94%
- B2B website speed score in Google PageSpeed and AI SEO readiness
- 100 / 100
- Continuity of automated background processes
- 24 / 7
Technical articles and B2B deployment architecture
How to Co-Finance Private AI, Two-Way ERP Integration and B2B Portals with 2026 European Grants: Dig.IT, Digital Europe and R&D Funding Guide
[Miscat.tech Engineering Guide] Complete breakdown of 2026 European & regional digitalization grants (€35k–€200k non-dilutive funding), eligible software engineering expenses (Go/PostgreSQL, MCP servers, ERP bridges), and how we prepare your technical grant specification in 48 hours.
The Test-Time Compute, RLVR and MCP Breakthrough: How Reasoning Models Transformed Software Engineering in 2026
Technical deep-dive into the biggest AI breakthrough of recent months: shifting from raw parameter scaling to Test-Time Compute, Reinforcement Learning with Verifiable Rewards (RLVR), and the Model Context Protocol standard.
The Open-Weights and Mixture-of-Experts (MoE) Revolution: How Qwen3, DeepSeek and Llama with FP8 Quantization Caught Up to Frontier Clouds
How Sparse Mixture-of-Experts (MoE), Multi-Head Latent Attention (MLA), and vLLM/SGLang engines enabled open-weights models on private servers to match commercial APIs at a fraction of the cost.
Let's check how many hours a month we can save in your company
Pick a time for a short call or write to us below. We'll go through your processes and propose a concrete implementation plan.