AI Engineering
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 impact with
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
