SaaS & AI product developmentProducts that ship
and keep shipping.
Multi-tenant SaaS, enterprise platforms, developer APIs and AI products: built with an agentic pipeline and the evaluation discipline to keep them right.
10
engineers on the agentic delivery path
98%
detection accuracy, computer-vision product
Multi-tenant
SaaS with a white-label reseller tier
On the date
critical milestone shipped on deadline
What we have shipped here.
7 case notes · client names withheld
01 · AI · delivery
Data & AI
Agentic software-delivery framework on Claude Code
Problem — An engineering practice wanted to deliver faster without losing review, tests and documentation along the way.
What we did — An end-to-end pipeline on Claude Code: project planning, automated epic and story population with progress tracking, autonomous story implementation, a dedicated solutions-architect agent, guardrail enforcement, automated code review and test generation, living documentation, and human-in-the-loop escalation pushed to mobile when a decision needs a person.
Measured — Rolled out to 10 engineers and now the practice’s default path for new work. Two Android apps scoped at five developers were shipped by one, on the original timeline.
Client withheld · details on the callAsk about this →
02 · Agritech · computer vision
Data & AI
Detection from user-submitted photographs
Problem — Non-experts photographing in poor conditions; a model that had to act on what they sent.
What we did — Owned the labelled dataset strategy, the evaluation criteria that gated release, production monitoring and the retraining loop as field data arrived; capture guidance and failure handling treated as part of the product. Localised for low-literacy users.
Measured — 98% detection accuracy. Government incubator funding secured on the minimum viable build.
Client withheld · details on the callAsk about this →
03
Process-documentation platform backend
Enterprise · .NET
Critical milestone shipped on the date.
Embedded04
Autonomous development pipeline for Dynamics 365
Enterprise · automation
Agent-driven customisation running end to end.
Data & AI05
Multi-agent orchestration framework
AI systems
Coordinated workflow simulation among autonomous agents, reliably repeatable — [ADD RUNS / SUCCESS RATE].
Data & AI06
Small language models where an LLM was too expensive
AI · small models
Accuracy target met at a fraction of the inference cost — [ADD COST / ACCURACY].
Data & AI07
Marketing data consolidated into ML-ready datasets
Data · ETL
ML-ready datasets delivered — [ADD SOURCES / VOLUME].
Data & AIWhat this industry asks for
The three questions we get before the first call ends.
01Multi-tenancyTenants, white-label tiers and credit-based monetisation designed in from the schema up, not bolted on when the second customer arrives.
02IntegrationsDynamics, Dataverse, SharePoint, Power BI, Xero: the plumbing is most of the product, so it is reviewed like the product.
03AI that stays rightEvaluation gates before release, monitoring after, small models where a large one is too expensive. The harness decides.
Services that fit.
All eight →01Custom softwareThe product, scoped and shipped in six-week increments.→04AI & machine learningModel features, agents and retrieval with a number to defend.→02Team augmentationEngineers inside your team when the roadmap outgrows it.→08QA & test automationGenerated tests and guardrails on every change.→
The other industries.
All six →SaaS & AI · the call
Tell us what the product must do next quarter. We will say how we would ship it.
Bring the problem, not a brief. If it is outside what we do well, we will say which of our contacts to call instead.
Or email info@hopsig.com — reply within one working day.