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Technology Partner
The Technologies Behind Scalable Systems and Smarter Decisions
We specialize in building tailored, scalable data solutions that drive innovation and empower your business with actionable insights. Our expertise lies in developing data architectures that seamlessly integrate with your existing systems, ensuring flexibility and delivering high-quality, real-time analytics.
With a deep understanding of the modern data stack, we provide the strategic insight and adaptability needed to help your business make informed decisions and thrive in today’s data-driven landscape.
Development Stack
Modern software demands more than code; it needs composable architecture, clean abstractions, and scale systems. At Valanor, we combine strong engineering principles with a modern toolchain to build fast, secure, and maintainable platforms.
Whether it’s a real-time backend, a responsive frontend, or a cloud-native deployment, we bring the right tools and execution to every project.
Our development stack includes performance-critical APIs, developer-first CMSs, and world-class DevOps infrastructure. Here’s how we build.
Remix.run
A React-based full-stack framework optimized for speed, web standards, and native UX. We use Remix.run to build resilient web apps with smart loading, nested routing, and instant navigation.
Next.js
A hybrid React framework supporting server-side rendering, static site generation, and API routes. We use Next.js for SEO-critical apps, marketing platforms, and performant frontend delivery.
TypeScript
TypeScript adds static typing to JavaScript, improving code safety and developer experience. For long-term maintainability, we default to TypeScript across web and server projects.
Go (Golang)
A fast, statically typed language designed for concurrency and system-level performance. We use Go to build scalable APIs, background services, and edge processing systems.
FastAPI
A high-performance Python framework for building APIs with automatic documentation and type safety. We use FastAPI to build modern backend services, data APIs, and AI microservices with minimal overhead and excellent developer experience.
Redis
An in-memory key-value store used for real-time caching, session storage, and queues. Redis ensures low latency in high-throughput applications and supports event-driven designs.
Supabase
A Postgres-based backend platform with built-in auth, storage, and real-time updates. We use Supabase to ship full-featured apps fast, especially for startups and prototypes.
Sanity CMS
A structured, headless CMS built for developers. Sanity CMS gives us real-time editing, custom content modeling, and tight integration with React-based frontends.
Prismic CMS
A headless CMS with a visual content editor. We use Prismic to power content-heavy sites where marketers need flexibility without sacrificing performance or structure.
Deepsource
A continuous static analysis tool that finds bugs, security issues, and anti-patterns. Integrated into our CI/CD to maintain code health and enforce standards.
SonarQube
An enterprise tool for code quality and security. We use SonarQube for deep scanning across large repositories and long-lived software projects.
Grafana
Grafana is a flexible observability platform for monitoring metrics, logs, and uptime. It helps us visualize everything from API latency to infrastructure health.
Docker
A standard container runtime for building consistent dev, test, and prod environments. Docker underpins nearly all our deployment pipelines and local development stacks.
Vercel
The home of Next.js, Vercel is a global deployment platform with automatic scaling and built-in edge capabilities. We use Vercel for lightning-fast frontend deployments and collaborative preview environments.
AI & Machine Learning
Intelligent systems don’t just process information; they interpret it, respond to it, and learn from it. At Valanor, we develop applied AI solutions that run at the edge, scale in the cloud, and integrate directly into your data and operational workflows.
Whether building real-time object detection pipelines, deploying LLM-based agents, or combining vision, thermal, and LiDAR data into actionable insights—we bring together the tools and expertise to execute AI that works in the field, not just in the lab.
Ollama
A fast, lightweight LLM runtime optimized for local or edge deployment. We use Ollama to serve language models securely without external dependencies—ideal for low-latency, high-privacy environments in defense, industry, and embedded systems.
Model Context Protocol (MCP)
A flexible protocol and Python SDK for context-managed LLM interactions. We use MCP to structure interactions across sensors, memory, and retrieval tools, powering multimodal agent workflows and field-deployable AI systems.
LangChain
An orchestration framework for chaining LLM calls, tools, memory, and agents. We use LangChain to build agentic reasoning systems, autonomous data processors, and complex decision logic using large language models.
OpenAI APIs
Powerful language and vision models are available via API. We use OpenAI for advanced NLP tasks like summarization, classification, data extraction, and reasoning, often combined with retrieval and context injection for domain-specific applications.
Hugging Face
A rich ecosystem of open-source models, datasets, and tools. We use Hugging Face to prototype and fine-tune Transformers and vision models, accelerate R&D, and deploy custom pipelines locally and in the cloud.
TensorFlow
A widely adopted machine learning framework for building, training, and deploying deep learning models. We use TensorFlow to develop custom vision, classification, and time-series models—especially when targeting TensorFlow Lite or edge-compatible formats for deployment in resource-constrained environments.
YOLOv8
A state-of-the-art object detection model for real-time use cases. We use YOLOv8 in surveillance, drone, and industrial systems to detect objects in video streams—fusing results with thermal or LiDAR data and contextualizing them with LLMs.
OpenCV
A comprehensive computer vision library for image processing and analysis. We use OpenCV in preprocessing pipelines, motion tracking, edge detection, and multi-sensor fusion before passing structured data to models or agents.
Weaviate
An open-source vector database optimized for semantic and hybrid search. We use Weaviate in RAG architectures to store embedding-indexed documents, filter metadata-rich corpora, and deliver fast, relevant retrievals at scale.
Astra DB
A serverless, scalable vector database built on Cassandra. We use Astra DB to support distributed RAG systems with vector search and metadata filtering, integrating seamlessly with LangChain and OpenAI for enterprise-grade deployments.
Chroma
A simple, developer-first vector store. We use Chroma in local testing, prototyping, and embedded systems to manage document search and retrieval without introducing external infrastructure.
LlamaIndex
A toolkit for connecting LLMs to external data sources. We use LlamaIndex to build custom RAG pipelines that connect models to file systems, databases, APIs, and structured enterprise data—enabling context-aware, dynamic answers.
RAGStack (Haystack)
A full-stack RAG framework from deepset. We use RAGStack to build scalable, production-grade QA and semantic search systems, integrating pipelines, vector databases, and LLMs in a modular and traceable way.
GCP / Azure
We deploy AI systems to Google Cloud and Microsoft Azure depending on security, cost, and location requirements. These environments host our real-time APIs, model training pipelines, and hybrid cloud-edge inference layers.
Edge Devices & On-Prem Infrastructure
We deploy LLMs and CV pipelines on edge hardware and private servers for clients requiring real-time inference or strict data control. This enables local processing, low-latency inference, and full offline functionality—especially in defense and critical infrastructure scenarios.
Data & Analytics Stack
Modern decisions require modern data infrastructure. At Valanor, we build scalable, transparent, and maintainable data systems—designed for fast insights, flexible modeling, and cross-team collaboration. From ingestion to transformation to visualization, our stack enables end-to-end analytics solutions tailored to your business.
We work with industry-leading platforms to help you centralize data, enforce quality, and make information accessible across the organization. Whether you’re launching a new warehouse or scaling advanced analytics, we bring the tools and expertise to move fast—without breaking things.
BigQuery
BigQuery is Google Cloud’s serverless data warehouse, enabling lightning-fast SQL analytics at scale. At Valanor, we use BigQuery as a central platform for storing and querying structured data. It’s the backbone of our reporting and analytics pipelines, seamlessly integrated with dbt for transformations and Looker Studio for dashboards.
Databricks
Databricks is a unified analytics and machine learning platform built on Apache Spark. We use it to design end-to-end ELT pipelines, experiment with machine learning workflows, and implement lakehouse architectures using Delta Lake. It’s particularly suited for high-performance workloads and real-time streaming use cases.
dbt
dbt enables us to transform raw data into clean, analytics-ready datasets within cloud warehouses. We write modular, version-controlled, tested, and documented SQL models, which give our data pipelines structure, governance, and maintainability. It’s our default approach for managing business logic in BigQuery and Databricks.
Airbyte
Airbyte is an open-source ELT platform that simplifies data ingestion from hundreds of sources. At Valanor, we deploy Airbyte to pull data from SaaS platforms, databases, and APIs into BigQuery or Databricks. It gives us complete control over how data lands in the warehouse—supporting self-hosted and managed deployments.
Prefect
Prefect is a modern orchestration framework we use to schedule and monitor data workflows. Whether coordinating dbt runs, Python scripts, or API-based jobs, Prefect helps us build resilient pipelines with retry logic, logging, and alerting—all with minimal infrastructure overhead.
Metabase
Metabase is an open-source BI tool that we use to deliver lightweight, self-service analytics for clients. It’s fast to set up and ideal for exploring data without writing SQL. We often deploy Metabase alongside BigQuery to enable business users to ask questions and visualize results independently.
Looker Studio
Looker Studio (formerly Data Studio) is Google’s native dashboarding tool. We use it to create interactive, client-facing reports connected to BigQuery, GA4, and other marketing and sales data sources. It’s perfect for building polished dashboards with live data and stakeholder-friendly visuals.
Power BI
Power BI is Microsoft’s enterprise-grade analytics platform. For clients embedded in the Microsoft ecosystem, we use Power BI to build secure, interactive dashboards connected to Azure, SQL Server, and cloud warehouses like BigQuery via connectors. It offers advanced modelling, row-level security, and robust integration with Office 365.
Tableau
Tableau is a leading data visualization platform known for its powerful and expressive dashboards. We use Tableau in enterprise settings to deliver high-impact visual analytics, often layered on top of BigQuery, Snowflake, or Databricks. It’s especially valuable for clients needing sophisticated drill-downs, mapping, or storytelling features.
Marketing Analytics Stack
Understanding customer behavior requires more than tracking clicks—it demands structured data collection, privacy compliance, and actionable insights that integrate with your broader data strategy. At Valanor, we build marketing analytics setups beyond dashboards, enabling accurate attribution, consent management, and unified data pipelines.
From enterprise platforms to privacy-first tools, our stack is designed to work across industries and comply with evolving regulations like GDPR and CCPA.
Google Analytics 4 (GA4)
Google’s event-driven analytics platform for modern web and app tracking. We use GA4 to measure engagement across user journeys, build predictive audiences, and feed data into BigQuery for advanced analysis.
Google Tag Manager (GTM)
A tag management system that allows marketers and developers to deploy tracking scripts without code changes. We use GTM to manage events, pixels, and data layers in a structured, scalable, and privacy-compliant way.
Stape.io
A server-side tagging platform that enables accurate, privacy-safe event tracking. We use Stape.io to implement server-side GTM containers, improving data quality, reducing ad-blocker losses, and allowing complete control over event payloads.
Matomo
An open-source web analytics platform focused on data ownership and privacy. We deploy Matomo for clients who need complete control of their analytics stack—especially in industries with strict compliance requirements or on-premise mandates.
Piwik PRO
A privacy-focused analytics suite with enterprise features. We use Piwik PRO to deliver secure, compliant analytics with custom reporting and tag governance—particularly in finance, healthcare, and public sector environments.
Adobe Analytics
An enterprise analytics solution for deep segmentation and attribution. We integrate Adobe Analytics into large-scale marketing ecosystems where customer journey mapping, cohort tracking, and real-time insights are critical.
RudderStack
A modern customer data platform (CDP) that routes event data across your stack. We use RudderStack to unify tracking from web, mobile, and backend sources—piping clean data into warehouses, CRMs, and ad platforms with full governance.
HubSpot
A CRM and marketing automation platform that connects customer behavior with campaign execution. We integrate HubSpot for clients who need synchronized email, lead scoring, forms, and reporting across the full customer lifecycle.
Cookiebot
A leading GDPR and CCPA-compliant consent management platform. We integrate Cookiebot with GTM and server-side tagging to ensure user consent is respected across analytics, ads, and A/B testing tools.
Let’s Discuss Your Project
Aleksandar Basara
Co-Founder