Services
Custom AI, data, and software systems, built for production.
We consult on the real engineering underneath serious AI systems: knowledge graphs and ontologies, time-series analysis, LLM-powered applications, and the databases and software that hold it all together. Not a chatbot bolted onto a product.
Where our experience runs deep
Real software engineering background, not just prompt engineering. This is the technical foundation every engagement draws on.
Knowledge graphs & ontologies
Modeling a business's entities and relationships so systems can reason over them, not just query rows in a table.
Time-series analysis
Baselining, forecasting, and anomaly detection over operational and IoT data, normalized against context like seasonality or weather.
LLM-powered systems
Retrieval, extraction, and agentic workflows built on top of real data pipelines, not a chat widget bolted onto a product.
Software engineering
Production-grade backends, APIs, and data pipelines. We ship systems that run, not prototypes that demo well once.
Databases & data infrastructure
Schema design and storage architecture across relational, graph, vector, and time-series stores, matched to the workload.
How we build opportunity-driven systems
When the goal is surfacing what deserves attention rather than just storing or serving data, we follow the same four-stage architecture behind Vink Flock.
Connect
Integrate the systems a business already runs on (CRM, billing, product analytics, IoT feeds, internal databases) into a single, normalized model.
Understand
Turn raw, vendor-specific data into a canonical model of the business, enriched with sentiment, intent, urgency, and other derived signals.
Detect & decide
Build detectors and scoring engines that flag the opportunities, risks, and anomalies worth a human's attention, and rank them by expected value.
Act
Turn detections into action: drafted messages, created tasks, or agent-executed steps, gated by the level of trust each action has earned.
We don't automate blindly
Every system we build earns autonomy in stages. Nothing acts on your business without the level of trust that action has actually earned.
- 1Observe: read-only access
- 2Recommend: surface opportunities and suggested actions
- 3Assist: draft the next action for a human to send
- 4Execute with approval: act only after explicit sign-off
- 5Limited autonomy: trusted actions run on their own
How we work
Discover
Understand the data, the decision, and what a good outcome looks like.
Design
Design the canonical model, detectors, and scoring before writing production code.
Build
Ship a working system against real data, not a slide deck.
Operate
Run it, measure outcomes, and tune detection and scoring against what actually happens.
Have data nobody has time to watch?
Tell us about the business and the decision. We'll tell you honestly whether an AI system is the right answer.
Get in touch