GSP.

The people and disciplines behind the systems.

The team covers the disciplines a complete system needs, from AI and ML engineering to financial analysis for investor materials, with a senior engineer leading every engagement from the first map to the handover.

what an answer engine reads / knowsAbout

The team covers the disciplines a complete system needs, from AI and ML engineering to financial analysis for investor materials, with a senior engineer leading every engagement from the first map to the handover.

@type
Organization
knowsAbout
17 entries: 9 service topics and 8 disciplines
first
AI and ML engineering
last
Financial analysis for investor materials
employee
not published: no headcount and no person is claimed

Disciplines, not a pyramid of juniors.

Every engagement is staffed by people who have shipped production systems. Each row names a discipline, what it covers, and something it built that you can see.

  • 01

    AI and ML engineering

    Model selection, retrieval, evals and guardrails, agents with human review.

    The Second Reader on this page, the AI intake behind the contact form, and the review-first content pipelines we run.

  • 02

    Full-stack web

    Platforms, portals, static and server-rendered sites, the seven demos here.

    This site: Next.js, static export, seven interactive demos.

  • 03

    Mobile

    iOS and Android clients when the work happens on a phone.

    Ships beside the web platform. The demos here are web.

  • 04

    Data and integrations

    The syncs, pipelines and APIs that connect a system to the tools a firm already runs.

    Intake routing, CRM and accounting syncs, document pipelines.

  • 05

    Cloud and DevOps

    Hosting, monitoring, deploy pipelines, access control and audit trails.

    The hosting and deploy pipeline for this site and every system we operate.

  • 06

    Product design and brand

    Design systems, interface design, the demos' interfaces, brand assets.

    The Phosphor Editorial system this site runs on, and the design records behind it.

  • 07

    Content and AI search

    Answer-first copy, structured data, llms.txt and crawler policy, citation checks.

    The copy and structured data on this site, the machine twin the Second Reader shows.

  • 08

    Financial analysis for investor materials

    Information memorandums, financial models, teasers and data rooms drafted inside a firm's own method.

    The document pipeline behind GSP Dealroom, with a claim registry for every figure.

How an engagement is staffed.

  • 01

    One senior lead, end to end

    A senior engineer owns the engagement from the first map to the handover and pulls in the disciplines the system needs.

  • 02

    Where the work happens

    The core team is in Kitchener, Ontario, with a partner network for capacity. Engagements run remotely with firms across North America, Australia and Asia.

  • 03

    How it starts

    A 30-minute intro call, then a written recommendation. Most engagements start within a few weeks of it.

  • 04

    How it ends

    A working session that trains your team, a runbook and the code under your own accounts. Most clients keep us on the pager anyway.

Put the right disciplines on it.

Thirty minutes to describe the work. You leave with a written recommendation and the disciplines it would take.

01 a reply within one business day / 02 a 30-minute call /03 a written recommendation: build, buy, or don't bother