Applied AI engineering.
RAG, agents, fine-tunes, evaluations. We pick the right approach for the problem, then build it to production standards. Typed, tested, observable, owned by your team at handoff.
AI for teams buried in spreadsheets, tickets, and dashboards. We scope one valuable thing, ship it, and leave it in your hands.
RAG, agents, fine-tunes, evaluations. We pick the right approach for the problem, then build it to production standards. Typed, tested, observable, owned by your team at handoff.
Search, copilots, classifiers, summarisers. We integrate directly into your codebase and measure the lift on real user metrics.
Prompt registry, observability, evaluation harness, guardrails. The infrastructure that makes AI dependable at scale, and cheap to change.
We audit your data, your team, and your product surface. Then deliver a prioritised, costed plan: what to build first, what to leave alone, and how to get there.
Replace fragmented, multi-tool workflows with a single, considered AI interface. Cleaner onboarding, better retention, fewer windows to keep open.
We work alongside your in-house team until they fully own the system. Playbooks, documentation, and on-call coverage included.
Stakeholder interviews, data audit, and opportunity mapping. A prioritised roadmap delivered by day five.
A single working solution, validated against real data, real users, and measurable outcomes.
Evaluations, monitoring, guardrails, and performance tuning. The rigorous work that makes a prototype production-ready.
Runbooks, training, and fractional support. Your team owns the system end-to-end when we step away.
from $24,000
A focused proof-of-concept on one workflow. We narrow the problem, ship a working prototype, and recommend a clear next step.
from $58,000
Ship one production AI feature behind a flag. Discovery to deployment, with the evals, monitoring, and runbook your team will inherit.
from $28,000/mo
A senior AI engineer embedded with your team for a full quarter. Your roadmap, your standups, your trackers, our hands.
LLM classifier + structured extractor replaced 3 weeks of manual triage per quarter.
RAG over 12k docs, evaled against real tickets. Answered 38% of tier-1 tickets without escalating to a human.
If we can't measure whether a thing works, we don't ship it. Every project starts with an eval set built from real examples, real failure modes, and measurable thresholds.
Every AI feature rolls out gradually, behind a toggle, with a one-line kill switch. A bad day in production is a bad hour, not a bad quarter.
Models drift, prices drop, providers shift. We isolate the model behind a thin interface so you can switch vendors or upgrade tiers without rewriting the product around it.
Some problems want a SQL query, a rules engine, or a better form. We'd rather lose a project than charge you to build a model that a stored procedure would beat. It happens.
Pezel is a senior team building custom software and applied AI, working with our clients from first conversation through long after launch. Tell us what you're working on.