Who we are
About us
Small engagements, explicit boundaries, and engineering-led delivery—clean narrative, no filler decks.
Backend Development helps organisations run useful AI inside their own products and operations. We focus on installation and tuning of language and multimodal models for small-scale platforms—traffic from thousands to low millions of tokens per month, not hyperscaler scale.
Who we work with
Product companies, agencies with retained clients, membership platforms, marketplaces, and internal IT teams that need a governed assistant or workflow step. Proposals differ: one team wants email triage and draft replies; another wants retrieval over PDFs and tickets; another needs a ranked shortlist for human review. We scope each case instead of selling a one-size “AI platform.”
What we do
- Discovery and sizing — data sensitivity, latency targets, languages, and hardware or cloud constraints turned into a concrete architecture.
- Deployment — containers, inference servers (e.g. vLLM, TGI, or vendor APIs where appropriate), secrets, logging, and access control wired to your identity stack.
- Tuning and evaluation — datasets you approve, offline metrics, side-by-side review with stakeholders, and guardrails (refusal patterns, PII handling, citation style).
- Handover — runbooks, rollback steps, and optional monitoring hooks so your team owns the line.
What we do not do
We are not a venture-scale model lab. We do not promise AGI, “unlimited” accuracy, or compliance certifications we have not explicitly contracted. We will tell you when an open-weight model on your hardware is the wrong trade-off and when a managed API is cheaper to operate.
Next step
Send us a note with your use case, rough volume, and data residency needs—we’ll respond with an honest fit assessment.