The feature ships. Nothing else moves.
A named AI capability — a copilot, retrieval over your data, an agent — shipped inside the product you already have, in 3–6 weeks.
You don't need a new product — you need AI inside the one you have. Integration sprints are fixed-scope, named engagements: a copilot in your product, RAG over your own data, workflow automation inside your app, or a support agent wired into your stack. Each sprint ships with its own evaluation suite and a clean handover, so the capability keeps working after we leave.
Who this isn't for.
- ✕Teams still deciding whether AI fits at all — start with the Assessment.
- ✕Open-ended R&D with no defined capability or success bar.
- ✕Products with no existing codebase for the sprint to ship into yet.
What this actually looks like.
Not a list of features — the mechanism, beat by beat, so you can picture it running against your own systems before the first call.
Fixed scope, fixed deliverables — no open-ended discovery
You pick the capability and the scope is locked before we start — a defined deliverable with a defined end, not an open-ended 'discovery' meter running against your budget with no visible finish line.
Ships inside your existing codebase, auth, and data layer
The feature ships inside the product you already run — your codebase, your auth, your data layer — so there's no second system for your team to maintain and no migration to schedule around.
Evaluation suite included with every sprint
Every sprint ships with its own evaluation suite for the capability it delivers, so it keeps working after handover — an eval nobody maintains is worse than none, so we build the one that survives.
Named sprints: pick the capability, not a vague engagement
Pick from named sprints — a copilot, RAG over your data, a support agent, a workflow automation — so you're buying a specific outcome with a known shape, not signing up for an ambiguous 'AI engagement.'
Shipped, not promised.
Gigbase — Multi-Tenant Agency Operating System
A multi-user agency management portal: projects, teams, clients, contracts, invoicing, real-time chat, meeting scheduling, and an admin-trained AI knowledge assistant — one subscription-based workspace.
Inflectiv Helios — Multi-Assistant AI Platform
A multi-user AI assistant platform: specialized assistants per knowledge domain, conversational UI with history and personalization, Google Calendar/Meet integration, and full prompt observability — built to absorb new AI capabilities.
Beyond AIO — AI Business Management & Analytics Platform
An all-in-one AI-powered business platform: predictive analytics, competitor analysis, CRM, HRM, financial management, task management, and cross-channel marketing with real-time campaign optimization.
Disclosure — founder-owned venture
Every figure has a name behind it.
No rounded-up vanity metrics — each number below is tied to a specific, named engagement you can open and read.
Concrete, not conceptual.
Every engagement is scoped around artifacts you own from day one — reviewed weekly, yours to keep regardless of what comes next.
See how our sprints would work on your system.
The path to production.
Start to finish: 3–6 weeks.
Scope
One short call to pick the named sprint and confirm fit against your codebase.
Build
Weekly demos against real data in your environment.
Evaluate
Golden-dataset evals before anything ships to users.
Handover
Documentation and a live walkthrough with your team.
How the stack orchestrates.
Chosen per engagement, never the other way around — this is how the pieces connect around the system we ship.
If the sprint doesn't clear the agreed evaluation bar, the build's on us.
Asked on every first call.
Named, repeatable scopes: an in-product copilot, RAG over your documents, workflow automation inside your app, or a support agent. If your need doesn't match a named sprint, we'll say so rather than force-fit it.
Yes — most sprints ship directly into a client's existing codebase and CI, with a named lead coordinating against your team's calendar and release process.
Scoped per sprint, once we've confirmed fit against your codebase and the specific capability you're after — a RAG sprint and a full agent build price differently for good reason. You'll have a number before you commit to anything.
Sprints stack — most clients run a second or third sprint once the first ships. Each is scoped independently.
We agree the scope and the evaluation bar before anything starts. If what ships doesn't clear it, the build's on us: you don't pay for it.
One call. Then a real answer.
- 30 minutes with a senior engineer, not a sales rep
- Free and no-obligation — bring your workflow or roadmap
- You leave knowing what's feasible and what we'd build first
- We reply within one business day
Three ways in. Pick by where you are.
You know the capability you want built into your product.
Let's put AI to work in your business.
A 30-minute call. You bring the workflow or the roadmap — we'll tell you what's feasible, what it costs, and what we'd build first.