Build it once.
Run it for years.
Blueforge is an engineering-led agency for software, AI and digital marketing. We build the systems an established company can run on for years, harden them before launch, and stay to keep them running.
30 minutes. Bring the problem, and we'll tell you whether we're the right shop for it.
What we make
Four kinds of work, one engineering standard. Each line links to the full specification.
| Service | What it's for | You receive | Typical duration |
|---|---|---|---|
| Software development | Internal systems, customer portals and integrations that your operations depend on daily. | Source code, infrastructure scripts, runbooks and every account, all in your name. | 3 to 9 months to first production release |
| AI implementation | AI that runs inside production systems, with logging, fallbacks and a person in the loop where it matters. | Evaluation suite, prompts, pipelines, cost dashboard and an operating manual. | 2 to 5 months to production |
| AI consulting | A board-ready view of where AI pays back in your operation, with the engineering cost attached. | Assessment report, scored use-case register and roadmap. | 4 to 8 weeks |
| Digital marketing | Demand generation built like the rest of our work: measured end to end, from first click to signed contract. | Ad accounts, analytics, dashboards and campaign playbooks, all in your name. | Set-up in 6 to 8 weeks, then ongoing |
How a project moves through the shop
Four stages, always in this order. The third is the one we refuse to cut, however tight the deadline.
1
Assay
We examine what you have: systems, data, team and constraints.
2
Forge
We build in two-week increments, with a working release at the end of each one.
3
Temper
We harden the system before launch: load, security, failure and recovery.
4
Service
We run and maintain what we built, or hand it to your team with everything they need.
Everything we build is yours.
You should be able to replace us in a month without losing a line of code. We set projects up that way from the first day.
- Source code
- In your repository from the first commit, with full history.
- Infrastructure
- Running in your cloud accounts, defined in scripts you can read.
- Documentation
- Architecture, runbooks and a decision log that explains why, as well as what.
- Accounts and data
- Every licence, ad account and dataset registered to you.
Who we're the right shop for
A good fit
- You run an established business and the system in question matters to daily operations.
- A pilot or prototype worked, and now it has to survive real users and real data.
- You need one accountable team across software, AI and the marketing systems connected to them.
- You expect to be running this in five years and want it built that way.
Better served elsewhere
- You need a throwaway prototype by next week.
- The budget only covers the build, with nothing for testing or upkeep.
- You want a vendor to take instructions without questioning them.
From the workshop
What has to be true before an AI pilot goes to production
Seven conditions we check before an AI system handles real work, from a measured accuracy number to a rehearsed way of switching it off.
The handover list we'd want if we inherited your system
What a software handover should contain, written from the point of view of the engineer who has to keep the system running after the builders have gone.
Attribution that reaches revenue: from ad click to signed contract
How to connect marketing spend to closed revenue in a B2B business with a long sales cycle, treated as the data engineering problem it is.
Bring us the system you can't afford to get wrong.
30 minutes. Bring the problem, and we'll tell you whether we're the right shop for it.