Services, and what is running behind each one.

Retrieval over your documents, knowledge base or database, with an LLM answering from what it finds.

Tool-using agents scoped to one job, with the boundaries and the audit trail decided up front.

AI added to software a business already runs — extraction, classification, summaries, reports — behind a real endpoint, with evaluation and cost accounting, and no rebuild of what works.

Models trained on your own data where a rule would not hold — classification, scoring, forecasting — with the evaluation that says whether it beat the rule.

Model ensembles per instrument, retrained on a schedule against a versioned feature store.

Orderbook and gamma monitors that archive every observation, not just the interesting ones.

Matchup models over a multi-season archive, with odds collection running beside them.

Dashboards and scheduled reporting fed by the pipeline itself, so the number on screen has a lineage.

Ingestion, stream processing and schema design for data that has to survive being queried a year later.

An honest read on whether the model is worth building, before anyone commits a quarter to it.

Company and product sites: fast, accessible, and editable by your own team after launch.

Full-stack web and SaaS products — the app, the admin behind it, and the deploy path.

Apps for iOS and Android, with the API, sign-in and push notifications they depend on.

Per-platform collectors against a shared schema, with confidence scoring and a review queue.

Servers, CI/CD, containers, monitoring and the alerting that catches a failure before a client does.

Build, test and deploy pipelines, infrastructure as code, and the release path a team can run without a person holding the rope.

Contracts, wallet integrations and on-chain data pipelines, for products where the ledger is the point rather than the pitch.

The recurring internal work that currently runs on a person and a spreadsheet.

Storefronts built for average order value and repeat rate, not for the launch screenshot.

Paid acquisition reallocated toward the segments that already convert, with attribution that holds up.

Welcome, browse, cart and post-purchase flows replacing the single broadcast list.

Technical SEO and the pages worth ranking, measured against revenue rather than impressions.

Testing on the steps that carry the money, with the analytics wired before the first variant ships.

Outbound and inbound routed into one pipeline, so a lead's origin is still readable at close.

Photoreal stills, animation and virtual staging generated from the working model, not a marketing fork.

Revit modelling and clash detection logged against model elements, with 4D and 5D where the schedule needs it.

Brand assets, campaign and social graphics, and the written content that goes with them — with Pixxibird, our sister design studio.

Interface and experience design for web apps, dashboards and sites, from wireframe to the screen the build follows — with Pixxibird, our sister design studio.

Animated explainers, product and interface motion, and cuts for social.

Stills and video loops made with generative tools, directed and graded to match the brand.

Stills and animated renders from model to final frame, lit and staged for presentation.

Real-time scenes and walkthroughs built in Unreal Engine for AR, VR and interactive presentation.

Compositing, cleanup and effects for video, from screen work to final grade.

Foundation, steel and concrete systems with seismic analysis in Robot and ETABS.

HVAC, electrical, plumbing and fire protection, with energy modelling and LEED documentation.