Founder-led boutique architecture partner

Boutique Data, AI & Technology Architecture for platform modernization and production-grade execution.

NanoStrategy helps organizations modernize data platforms, adopt production-grade AI, design streaming and event-driven systems, and strengthen platform execution through senior advisory, architecture, embedded expertise, and capability transfer.

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Data platform modernization Production AI enablement Streaming architecture Platform readiness

Why NanoStrategy

For moments where data, AI, and platform decisions are too expensive to improvise.

Where risk appears

Fragile data foundation

Unclear AI operating model

Streaming complexity

Weak production readiness

NanoStrategy is useful when architecture decisions, production constraints, and team capability need to be treated together rather than as separate consulting slides.

Clarify architecture direction before platform or vendor commitment.
Make AI adoption practical, governed, observable, and maintainable.
Strengthen streaming, DataOps, DevOps, and platform engineering foundations.
Support internal teams with senior advisory, embedded expertise, and capability transfer.

Core services

Focused domains, not broad transformation theater.

Each service connects architecture depth with practical execution constraints, so recommendations can become decisions, roadmaps, operating models, and team capability.

Architecture path

Production lens

Architecture

Governance

Observability

Enablement

Data Platform Modernization

Data architecture, governance, quality, observability, DataOps, analytics readiness, and platform migration sequencing.

Best for: Teams preparing data foundations for scale or AI.

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Production AI & GenAI Enablement

AI-assisted engineering, agentic delivery workflows, LLMOps, MLOps, knowledge readiness, governance, evaluation, and cost control.

Best for: Organizations moving AI beyond experimentation.

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Streaming & Event-Driven Architecture

Kafka-style architectures, Flink-style processing, event models, real-time flows, reliability, and operational governance.

Best for: Teams where real-time data is becoming business-critical.

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Engagement models

Start with the format that matches the decision.

NanoStrategy can work through short expert consultation, fixed-scope assessments, embedded expert support, fractional leadership, or training and capability transfer.

Expert Consultation

Short senior advisory sessions for precise architecture, platform, AI, streaming, or production-readiness decisions.

Best for: Fast expert judgment before commitment.

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Fixed-Scope Assessment or Roadmap

Defined diagnostic work for data platforms, AI readiness, streaming architecture, production readiness, or operating models.

Best for: Teams that need a clear deliverable.

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Embedded Expert Support

Premium regie d'expertise for active work: architecture decisions, delivery guidance, technical reviews, and team enablement.

Best for: Teams whose decisions evolve weekly.

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AI without hype

Production AI needs architecture, governance, and operating discipline.

AI readiness lens

Knowledge readiness

Evaluation

Traceability

Operating model

NanoStrategy treats AI enablement as an engineering and operating-model challenge: agentic workflows, AI-assisted delivery, MLOps, LLMOps, governance, security, observability, cost, and maintainability.

Assess where AI can safely support technical teams.
Design practical workflows for agents, documentation, and delivery support.
Define production constraints before pilots become fragile dependencies.

Method

From diagnosis to capability transfer.

Diagnose

Architect

Roadmap

Execute

Transfer

Diagnose

Clarify the platform, AI, streaming, or production-readiness question.

Architect

Shape target architecture, governance, operating model, and decision principles.

Roadmap

Sequence the work into practical priorities, risks, and delivery steps.

Execute

Support implementation, review decisions, and keep delivery connected to architecture.

Transfer

Leave teams with clearer practices, playbooks, and operating rhythm.

Founder-backed credibility

Company-first, with direct senior involvement.

NanoStrategy is founder-led by Tariq SAHNOUNI, a Data and AI Architect with deep experience in data platforms, streaming systems, platform engineering, and enterprise architecture.

TOGAF and The Open Group Digital Practitioner Body of Knowledge certified.
Executive MBA Candidate at EDHEC Business School.
Professional technical training experience across Kafka, observability, MLOps, Druid, and modern data platforms.

Market context

Europe-first, with practical awareness of African and Gulf market realities.

Market context

EuropeAfrican marketsGulf marketsDelivery

NanoStrategy works from a European base and keeps regional context practical: governance, delivery maturity, platform constraints, and adoption realities matter more than generic international claims.

Proof

Practical proof, even when the work is confidential.

Growth-stage organization

Data Maturity Roadmap Before Analytics Investment

An anonymized example of assessing data maturity before investing in analytics and automation.

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SME

From Internal Workflow To Delivery Roadmap

An anonymized representative example of turning an unclear internal workflow into a structured delivery and operating-model roadmap.

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Insights

Practical thinking for data, AI, platform, and technical leadership decisions.

Data Management

How To Assess Data Management Maturity

A practical introduction to assessing data maturity through governance, quality, ownership, and readiness.

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Technology Leadership

When To Bring In Senior Technology Leadership

A practical guide for deciding when fractional technology, data, or AI leadership is useful for architecture governance and execution steering.

Read article

Engagement Formats

Embedded Support Or Fixed Scope: Choosing The Right Consulting Format

A practical comparison of embedded expert support and fixed-scope assessment formats for data, AI, platform, and architecture work.

Read article

Bring senior architecture judgment into your next data, AI, or platform decision.

Use the first conversation to clarify the situation, identify the right engagement model, and decide whether NanoStrategy can help.

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