Model selection & evaluation
Comparing foundation models, fine-tuned models and classical ML against your accuracy, latency and cost constraints.
AI/ML Engineering
Machine Learning That Ships Inside Real Products
Applied AI and machine learning engineering, from model selection and evaluation to deployment, monitoring and integration into production systems.
Most AI value gets lost between a promising notebook and a working product. We scope the problem, choose the right approach (a foundation model, a fine-tuned model or classical ML), and build the pipeline that gets predictions into the hands of real users reliably.
Why it matters
The hard part of AI is rarely the model. It's the pipeline around it.
Data pipelines, model selection, evaluation, deployment and monitoring, treated as one connected engineering problem.
Discuss a project ↗AI/ML Engineering services
What we can build together.
LLM & agent integration
Prompt design, retrieval-augmented generation, tool use and agent workflows built into existing products.
Custom model training
Fine-tuning and training pipelines for domain-specific classification, prediction and recommendation tasks.
MLOps & deployment
Model serving, versioning, monitoring and rollback so predictions stay reliable in production.
Data pipeline engineering
Ingestion, labeling and feature pipelines that keep models fed with clean, current data.
Responsible AI review
Bias, safety and reliability checks appropriate to the use case before launch.
Our process
From ambiguity to something you can ship.
Audit
Audit crawlability, indexation, content signals, templates, internal links, performance risks and current search opportunities.
Prioritize
Rank fixes by business value, technical dependency and expected impact so foundational problems are solved before cosmetic optimizations.
Implement
Apply technical and on-page changes consistently across templates, then build or improve content where search intent is underserved.
Measure
Track indexation, queries, clicks, rankings, conversions and Core Web Vitals, then iterate using real search and user data.
Selected work
Explore projects ↗See the system in context.
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What the work is designed to do
Every deliverable should move the business forward.
Create confidence
Make it easier for crawlers and users to understand which pages matter and what each page is specifically about.
Make complexity useful
Build content around real tasks and questions so pages can satisfy intent rather than repeating broad marketing language.
Scale without losing character
Create an SEO system that supports new services, resources and articles without reintroducing duplicate URLs or inconsistent metadata.
Contact
The right partner at the right moment changes everything.
Tell us what is changing, where the friction is, and what needs to become possible.
Start a conversation ↗