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Metanow. We combine business know-how with AI and technology.

Strategy | Consulting | AI Solutions | Digitalization | Business Process Solution | ERP | CRM | Software Development | Digital Client Onboarding | Digital Lifecycle Management | Digital Payment Transaction

Metanow. Wir verbinden Business-Know-how mit KI und Technologie.

Strategie | Beratung | KI-Lösungen | Digitalisierung | Geschäftsprozesslösungen | ERP | CRM | Softwareentwicklung | Digitales Client Onboarding | Digitales Lifecycle Management | Digitaler Zahlungsverkehr

We facilitate the innovation and re-engineering of the business value chain for leaders across the private and public sectors.

Aligning architecture with operational objectives.

01

Consulting & Strategy

High-level advisory services including agile transformation, feasibility studies, product design, and digital strategy.

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02

Artificial Intelligence

Cutting-edge AI solutions covering Generative AI, Machine Learning, Conversational agents, and Intelligent Automation.

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03

Process Engineering

Optimizing operations through Cloud migration, DevOps, Data engineering, MLOps, and Cybersecurity infrastructure.

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04

ERP & CRM

Comprehensive enterprise solutions for Resource Planning and Customer Relationship Management implementation.

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05

Software Development

Core engineering services including custom app development, legacy modernization, UX design, and QA testing.

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06

Marketing

Integrated growth services spanning SEO, performance marketing, creative branding, content, and automation.

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07

Digital Client Onboarding

Unlock digital business potential with fully compliant, automated front-to-back onboarding processes.

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End-to-End technical orchestration


Bridging the gap between C-Suite strategy and binary code—from the first audit to final deployment.

OPERATIONAL PAIN POINTS
Data Silos Fragmented Systems
Manual Friction High Admin Overhead
Legacy Risk Technical Debt
Blind Spots No Real-Time BI
Scaling Cap Linear Cost Growth
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METANOW ENGINE
BUSINESS ARCHITECTURE (LOGIC)

Consulting & Strategy

Feasibility studies, ROI modeling, and digital roadmapping.

Process Engineering

Workflow design, removal of bottlenecks, and logic mapping.

TECHNICAL EXECUTION (CODE)

Artificial Intelligence

Agentic workflows and automated decision-making.

ERP & CRM

System integration (Odoo/HubSpot) and data centralization.

Software Development

Custom APIs and legacy system encapsulation.

METHODOLOGY:
Audit • Design • Build • Scale
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OUTPUT
Efficiency OPEX Reduction
Scalability Tech-Enabled Growth
Security Sovereign Data
150
satisfied clients
9.6
Net Promoter Score
200
years of combined experience
30+
Certified engineers on staff
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Quantifiable structural integrity.


Our performance is not measured by lines of code, but by the stability and efficiency of the systems we deploy.


Tech domains in focus
We build for what's next so you can get there now.

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Artificial Intelligence

Advanced neural networks, predictive modeling, and automated decision-making systems.

Deep Learning TensorFlow

Machine Learning

Algorithms that learn from data to improve performance without explicit programming.

Scikit-Learn PyTorch

Natural Language Processing

Text analysis, sentiment detection, chatbots, and large language model integration.

LLMs / GPT NLTK

Computer Vision

Image recognition, object detection, facial recognition, and OCR technology.

OpenCV YOLO

GIS Data Processing

Geospatial analysis, mapping software, and location-based data services.

ArcGIS QGIS

Big Data & Engineering

Processing massive datasets, ETL pipelines, and scalable storage architectures.

Hadoop / Spark Snowflake

Business Intelligence

Data warehousing, interactive reporting dashboards, and actionable insights.

PowerBI Tableau

Analytics & Visualization

Statistical analysis and visual storytelling to interpret complex data trends.

D3.js Looker

Data Science

Advanced statistical methods, hypothesis testing, and data mining algorithms.

Python R Stats

Cloud

Scalable infrastructure, serverless computing, and microservices architecture.

AWS Azure

Internet of Things

Connected device networks, sensor data collection, and smart automation.

MQTT Edge

Blockchain & NFT

Decentralized ledgers, smart contracts, and tokenized asset management.

Solidity Web3

System integration capabilities


We maintain an objective tooling approach, selecting technologies based on their compatibility with your strategic roadmap rather than vendor affiliation.

The Integration Layer


We specialize in "Bridge Architecture." If your legacy system (SAP, Oracle, On-Premise SQL) holds critical data, we do not force a replacement. We build secure API layers to connect modern front-ends to your established back-ends.

Kubernetes Kubernetes
AWS AWS
Azure Azure
Rancher Rancher
Docker Docker
Terraform Terraform
Jira Jira Agile
ArgoCD ArgoCD
Figma Figma
Next.js Next.js
Angular Angular
TypeScript TypeScript
Tailwind Tailwind
Flutter Flutter
Node.js Node.js
NestJS NestJS
C# C#
PostgreSQL PostgreSQL
Redis Redis
GraphQL GraphQL
Directus Directus
RabbitMQ RabbitMQ
OpenAPI OpenAPI
Apigee Apigee
Mulesoft Mulesoft
Keycloak Keycloak
OAuth OAuth
Ethereum Ethereum
Polygon Polygon
Solidity Solidity
Avalanche Avalanche
Mendix Mendix
n8n n8n
Flowable Flowable
Sparx Systems Sparx Systems
Business Meeting


Building digital capital


We move beyond "software development" to architect durable digital assets that appreciate in value.

Technical Debt Prevention: We enforce strict documentation standards and clean-code protocols. This ensures your internal teams can easily maintain and extend the system long after our handover.

Data-First Logic: We prioritize data structure over interface design. By organizing your core data logic first, we ensure your system produces actionable business intelligence, not just inputs and outputs.

Security by Design: We integrate IAM (Identity and Access Management) and Zero-Trust protocols at the architectural level, ensuring your proprietary data remains compartmentalized and secure.

Future-Proof Integration: We build with standard, open APIs (REST/GraphQL). This ensures your system remains compatible with future tools and AI agents, regardless of how the market evolves.

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What sets Metanow apart


Why do COOs and CTOs choose Metanow over traditional software houses?

The Metanow Way

Architectural Standard

Primary Goal

Operational Efficiency / ROI

Approach

"Build what is needed."

Tech Selection

Agnostic (Best tool for the job)

Legacy Systems

"Bridge and integrate."

Architecture

Microservices / Scalable

VS
Legacy Approach

Traditional Dev Shop

Primary Goal

Billable hours / Feature count

Approach

"Build what is asked."

Tech Selection

Vendor-driven (Partnerships)

Legacy Systems

"Rip and replace."

Architecture

Monolithic / Rigid

Frequently Asked Questions

How does Metanow define "Digital Transformation" in operational terms?

We define it as the transition from analog, siloed data storage (paper, spreadsheets) to a unified digital architecture. Our objective is to architect a system where Finance, Operations, and Sales utilize a single source of truth. This eliminates data redundancy and reduces the administrative overhead required to reconcile disparate departmental reports.

What is the economic function of a Feasibility Study?

This is a capital protection mechanism. We model the technical architecture and financial requirements prior to resource allocation. This process identifies integration risks (e.g., legacy ERP incompatibility) and validates that the projected ROI exceeds the cost of implementation. We do not build without a validated blueprint.

How does Agile methodology protect our implementation timeline?

Traditional "Waterfall" developments risk irrelevance by the time of launch. We utilize Agile to deliver functional, testable software in two-week operational sprints. This allows the C-Suite to audit progress, pivot based on market feedback, and deploy high-priority features immediately, reducing the time-to-value for the investment.

How do you secure Generative AI for proprietary corporate data?

We do not rely on public, open-model APIs for sensitive data. We architect sovereign AI instances—private environments where the model is trained strictly on your internal documentation (RAG - Retrieval-Augmented Generation). Your data remains within your firewalled infrastructure and is never used to train public models.

Distinguish between "Automation" and "Agentic AI."

Standard automation executes rigid, linear scripts (If X, then Y). Agentic AI possesses decision-making logic. We program Agents with a terminal objective (e.g., "Analyze competitor pricing"), and the Agent independently orchestrates the necessary steps—web scraping, data structuring, and summarization—without human intervention.

What is the measurable economic impact of AI integration?

The primary metric is the reduction of high-cost labor on low-value tasks. By automating document processing, level-one inquiry triage, and data synthesis, we increase the functional capacity of your workforce. This allows senior staff to focus on strategic initiatives rather than administrative maintenance.

Why is DevOps critical for operational stability?

DevOps bridges the gap between development and operations via Continuous Integration/Continuous Deployment (CI/CD). This automates the testing and release of software updates. The result is a drastic reduction in system downtime caused by human deployment errors and an increased frequency of feature releases.

How does FinOps control cloud infrastructure spend?

Cloud computing acts as a variable operating expense. FinOps (Financial Operations) is the governance framework we implement to monitor unit economics. We identify underutilized resources ("zombie instances") and architect auto-scaling rules to ensure you only pay for the compute power required by current traffic loads.

What is the output of Data Engineering?

We convert raw unstructured data into business intelligence. We construct Extract, Transform, Load (ETL) pipelines that sanitize and organize data from various inputs (CRM, ERP, IoT). This ensures that management dashboards reflect accurate, real-time operational metrics rather than historical estimations.

Differentiate the operational roles of ERP and CRM.

The ERP manages internal capital: inventory, general ledger, and human resources. The CRM manages external capital: lead acquisition and customer retention. Metanow’s role is to architect the API layer that synchronizes these systems, ensuring that a closed sale in the CRM automatically triggers inventory allocation and invoicing in the ERP.

Why do ERP implementations often carry high failure rates?

Failure stems from digitizing inefficient processes. We apply a "Process Before Code" philosophy. We map and optimize your operational workflows before configuring the software. If a process is fundamentally broken, automating it only accelerates the generation of errors.

Configuration vs. Customization: What is the Metanow recommendation?

We advise a "Standard Core, Custom Edge" strategy. We keep core financial processes standard to ensure easy upgrades and system stability. We apply custom development only where it provides a competitive advantage in your specific market delivery. This minimizes "Technical Debt" and long-term maintenance costs.

When is Custom Software capable of delivering ROI over SaaS?

Commercial Off-The-Shelf (COTS) software is sufficient for utility functions (Email, HR). Custom software is required when your operational workflow acts as a market differentiator. If your business logic is unique and provides a competitive edge, we build proprietary software to support that logic without the constraints of generic platforms.

How do we handle "Legacy Integration" without replacing our core systems?

We avoid "rip and replace" scenarios. Instead, we employ an "Encapsulation" strategy. We build modern API wrappers around your legacy databases (Mainframe, older ERPs). This allows modern front-end applications to securely interact with your historical data, extending the lifespan of your initial capital investment.

How does UX Design impact operational efficiency?

UX (User Experience) is a functional discipline, not an aesthetic one. In an internal context, poor interface design increases task completion time and error rates. We design "High-Efficiency Interfaces" that minimize the clicks and cognitive load required for your staff to execute core functions, directly impacting workforce productivity metrics.

Initiate the discovery phase


Do you have any questions or concerns? We are available to advise you personally. Our team of experts will get back to you quickly and reliably to discuss your architectural needs.


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Book a short discovery call. We will explore how we can help you move forward with clarity and structure.

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