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How Infomineo hires
Truth index
B 75/100
Ghost roles
0%
Stale roles
100%
Reposted roles
0%
Infomineo scores B on the Alion truth index (A is best, E worst), measured over 4 open roles re-checked against its own hiring board: 0% look like ghost listings, 100% have gone stale and 0% are the same role posted again. It measures how much of what this employer publishes turns into a real, finite search - not the employer as a workplace. How the index is computed
Connections
List
Graph
Found in company registers, site code, DNS and hiring. Each connection shows how sure we are and the evidence, with its source and date.
Shared investors

EndeavorVia a fund
1352 portfolio companies
Click a company to open it. Dashed lines are likely connections. The second step of the network is part of the Pro plan.
Owner
Same company
Same group
Likely
News
Demand Sensing vs. Demand Forecasting: How to Run Both Without Making Your Plan Worse
Steve Morlidge studied more than 300,000 forecasts and found that 52% of them were worse than a naive random-walk forecast, according to Gilliland, Tashman, and Sglavo's Business Forecasting: Practical Problems and Solutions. More than half the time, doin
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Report
Demand Sensing: What It Is, and Why It's Not the Same as Forecasting
The Institute of Business Forecasting and Planning estimates that reducing forecast error by just one percentage point can save a CPG company an average of USD 3.52 million a year in under-forecasting costs and USD 1.43 million in over-forecasting costs.
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Report
Data Normalization: What It Actually Means, and Why the Term Covers Three Different Things
Data Normalization: What It Actually Means, and Why the Term Covers Three Different Things Search "data normalization" and you will get database architects explaining normal forms, data scientists explaining feature scaling, and healthcare or finance prof
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Report
Data Harmonization: What It Actually Means, and Why Most Teams Underinvest in It
Data Harmonization: What It Actually Means, and Why Most Teams Underinvest in It Forrester research cited by IBM found that more than a quarter of organizations lose over USD 5 million a year to poor data quality, and 7% lose more than USD 25 million. Gar
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Report
Custom AI Harness: When Building Your Own Actually Makes Sense
Custom AI Harness: When Building Your Own Actually Makes Sense Menlo Ventures surveyed roughly 500 U.S. enterprise decision-makers in 2025 and found that 76% of enterprise AI use cases are now purchased rather than built internally, up from 53% purchased
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Report
Arabic Localization: What It Actually Involves, and Where the ROI Really Shows Up
Arabic Localization: What It Actually Involves, and Where the ROI Really Shows Up CSA Research surveyed 8,709 consumers across 29 countries and found that 76% prefer buying products with information in their own language, and 40% will never buy from a web
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Report
Power BI vs. Tableau: The Complete 2026 Comparison
Power BI vs. Tableau: The Complete 2026 Comparison Both platforms sit as Leaders in Gartner's 2026 Magic Quadrant for Analytics and Business Intelligence, and both carry nearly identical 4.4-star ratings on Gartner Peer Insights, Power BI from 3,232 revie
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Report
Where to Build AI Teams: The Growing Case for Egypt and Morocco
Key Takeaways As AI adoption scales, access to qualified AI talent is becoming a strategic constraint The global AI talent map is shifting, with emerging markets rapidly expanding their talent pools Africa is building its AI capabilities, with Egypt and M
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Report
AI Harness: What It Is, and Why It Matters More Than the Model
AI Harness: What It Is, and Why It Matters More Than the Model Every AI agent conversation in 2026 eventually collapses into a formula: Agent equals Model plus Harness. Databricks put it plainly in its own engineering research: most operational agent fail
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Report
Data Accessibility: What It Means, and Why Most Companies Get It Backwards
Data Accessibility: What It Means, and Why Most Companies Get It Backwards Accenture and Qlik surveyed 9,000 employees across nine countries and found that data-related friction costs organizations more than five working days, 43 hours, per employee every
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Tech stack
Technologies named in job postings at Infomineo over the last 12 months, by layer, with the share of postings for each.
Technologies in use
61
Postings analysed
8
Stack modernity
88/100AI adopter
Languages
Python
SQL
JavaScript
TypeScript
Frameworks & libraries
LangChain
LangGraph
React.js
FastAPI
Databases
Amazon Redshift
Google BigQuery
PostgreSQL
Snowflake
Cloud & platforms
AWS
GCP
Azure
GitHub
AI & ML
LLM
Gemini
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Full Infomineo tech stack
61 technologies · by team · pay by technology · changes · similar stacks
Growth
Hiring Momentum
42/100
Stable
Open positions
7
1 opened / 1 closed in 30 days
Median time-to-fill
40 days
faster than 33% of the market
ATS activity
Every ~6 hours
11/02/2026
Hiring Dynamics
0%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
AI/ML
50% ▲
Backend
17% ▲
Product
17% ▼
Enterprise Apps
17% ▼
Activity Timeline
Added PostgreSQL to stack
Oct 2026
Added Linux to stack
Oct 2026
Added Flask to stack
Oct 2026
Added Edge AI to stack
Oct 2026
Added Django to stack
Oct 2026
Added Multi-Agent Systems to stack
Sep 2026
Added Machine Learning to stack
Sep 2026
Added Function Calling to stack
Sep 2026
Offices
Where the company hires and what each office is for
Cities
2
Hiring now
2
Countries
2
Busiest office
Casablanca
Loading the map
Headquarters
Builds here
Office with open vacancies
Tap a pin for the office
Casablanca
Morocco
Plant / site
5 open roles 2 posted in 90 days 80% engineering 20% remote 50-200 est. staff
hires for AI/ML, Backend, Marketing
Cairo
Egypt
Regional office
Our Global Presence
2 open roles 3 posted in 90 days 100% engineering 50-200 est. staff
hires for AI/ML, Backend
Infomineo, Building 55, street 18, 4th floor, Maadi Sarayat, Cairo, Egypt
Jobs
In office · Casablanca
Python
SQL
Scala
pySpark
Databases
Snowflake
Databricks
Apache Kafka
Google BigQuery
Amazon Redshift
AI/ML
Hadoop
Spark
MLFlow
dbt
Kubeflow
Flink
LLM
RAG
Amazon SageMaker
DevOps
GCP
Azure
CI/CD
Git
AWS
Docker
Kubernetes
GitHub
GitLab
Analytics
Tableau
Power BI
Looker
Apply
≈ $140k – $348k per year (Estimated) · In office · Full-Time · Bachelor's Degree · Casablanca
Python
SQL
LangGraph
LangChain
Function Calling
AI Agents
LLM
RAG
LLMOps
Multi-Agent Systems
Machine Learning
DevOps
GCP
Azure
CI/CD
AWS
Docker
Apply
≈ $18k – $43k per year (Estimated) · In office · Full-Time · Bachelor's Degree · Cairo
Python
SQL
LangGraph
LangChain
Function Calling
AI Agents
LLM
RAG
LLMOps
Multi-Agent Systems
Machine Learning
DevOps
GCP
Azure
CI/CD
AWS
Docker
Apply
≈ $165k – $378k per year (Estimated) · Remote (Morocco) · Freelance · Casablanca
Python
SQL
Scala
pySpark
Databases
Snowflake
Databricks
Apache Kafka
Google BigQuery
Amazon Redshift
AI/ML
Hadoop
Spark
MLFlow
dbt
Kubeflow
Flink
LLM
RAG
Amazon SageMaker
DevOps
GCP
Azure
CI/CD
Git
AWS
Docker
Kubernetes
GitHub
GitLab
Analytics
Tableau
Power BI
Looker
Apply
In office · Full-Time · Bachelor's Degree · Casablanca
Python
JavaScript
FastAPI
AI/ML
LangGraph
LangChain
Model Context Protocol
Prompt Engineering
AI Agents
Gemini
LLM
RAG
OpenAI
LLMOps
Semantic Search
Machine Learning
Frontend
Vue.js
Next.js
React.js
DevOps
Rest API
Terraform
GCP
GitHub Actions
Pulumi
Azure
CI/CD
GitOps
AWS
Docker
Kubernetes
Google GKE
GitHub
Apply
In office · Full-Time · Bachelor's Degree · Cairo
Python
JavaScript
FastAPI
AI/ML
LangGraph
LangChain
Model Context Protocol
Prompt Engineering
AI Agents
Gemini
LLM
RAG
OpenAI
LLMOps
Semantic Search
Machine Learning
Frontend
Vue.js
Next.js
React.js
DevOps
Rest API
Terraform
GCP
GitHub Actions
Pulumi
Azure
CI/CD
GitOps
AWS
Docker
Kubernetes
Google GKE
GitHub
Apply
