Get AI ready with RAG (Retrieval Augmented Generation)
AI Engineering
Transform Data Into Value with Custom AI Solutions Built for Impact
Transform Data Into Value with Custom AI Solutions Built for Impact
Unlock insights, automation, and innovation through AI tools and models designed around your unique business challenges.
Econify's AI engineering services enable organizations to leverage cutting-edge technologies that unlock new insights, automate processes, and create intelligent experiences. Whether developing custom machine learning models, implementing generative AI solutions, or optimizing AI infrastructure, we can support your AI initiatives to deliver measurable business value.
Engineering trusted by global brands
Our Experience
We've partnered with clients to bring AI solutions to life across media, entertainment, and publishing industries, developing practical AI applications that solve real business problems. We've successfully implemented content taxonomy systems, LLM application integrations, model fine-tuning and deployment, interactive data visualization tools, and RAG applications that unlock value from unstructured data.
Challenges We Solve
We can help you with any of these common challenges:
Difficulty identifying high-impact use cases that deliver clear ROI
Limited AI expertise to develop and maintain sophisticated models
Challenges integrating AI with existing systems and workflows
Concerns around data quality, governance, and responsible AI use
Scalability issues when moving from proof-of-concept to production
Our Process
Every business is on a different path to AI maturity, We can help help you assess your AI maturity and support in putting in the foundations for AI enablement.
Areas we will explore include:
AI use case identification and prioritization
Standardized architecture analysis
Content taxonomy and metadata assessment
Editor and content producer workflow analysis
Integration requirements with existing CMS and publishing systems
Performance measurement and optimization frameworks
What Sets Us Apart
Domain Expertise:
Our deep understanding of publishing workflows - particularly within media and publishing - content management, and audience engagement ensures AI solutions that address industry-specific challenges.
Practical Implementation:
We prioritize solutions that fit your workflows and goals, avoiding unnecessary complexity while delivering meaningful outcomes.
Full-Stack Capabilities:
Our expertise spans data engineering, model development, and production deployment, enabling end-to-end AI implementation.
Tailored Support:
We understand and can customize solutions for your modern software challenges, delivered in partnership with your team.
Technology Breadth:
Our expertise covers supporting technologies such as Databricks, Snowflake, and SageMaker.
RAG Systems
Building with AI: FAQ
What to adopt, why it matters, and how we integrate AI into existing workflows
AI engineering is the process of designing, building, and deploying custom AI solutions—such as large language model (LLM) applications, retrieval-augmented generation (RAG) systems, and machine learning pipelines. Econify helps businesses use AI to automate workflows, improve decision-making, and deliver ROI-driven innovation.
We specialize in AI solutions for media, publishing, and entertainment, where content management, metadata, and personalization are critical. However, any organization looking to improve efficiency, scalability, or customer experience can benefit from our AI services.
Yes. A common challenge is integrating AI with CMS platforms, publishing workflows, or enterprise data systems. We have built tools such as AI powered taxonomy generators, RAG systems and interfaces and services for managing AI projects. Our team builds AI tools that fit seamlessly into existing infrastructure without disrupting operations.
We focus on practical use cases that align with business goals. By prioritizing measurable outcomes—like reducing manual tagging effort, improving search/recommendations, or streamlining content workflows—we help ensure AI adoption delivers real business value.
No problem. We offer AI maturity assessments, helping teams identify high-impact use cases, analyze architecture readiness, and design a roadmap for responsible and scalable AI adoption.
Yes. We design and deploy retrieval-augmented generation (RAG) platforms, fine-tune LLMs for industry-specific tasks, and integrate generative AI into real-world workflows like content tagging, search, and editorial tools.
We offer a mix of domain expertise in media and publishing, practical implementation focus, and full-stack capabilities—from data engineering to model deployment. We deliver tailored solutions that are effective, scalable, and built for long-term success.