Technology-agnostic
We evaluate tools for a living and have no resale incentive. We recommend what fits your operation, budget, and team, including products we do not build.
Why STRAVYNT for Super Intelligence (SI)
Built to be judged on outcomes you can inspect.
There are several reasonable ways to bring SI and artificial intelligence (AI) into a business. This page lays them out honestly, explains where STRAVYNT sits, and lists the seven commitments every engagement is held to.
Seven commitments
Strategy and implementation together
The people who rank the opportunity are the people who build it. No hand-off between a deck and a delivery team.
Works with your current stack
Your CRM, phone system, books, and inbox stay. We connect to them with the integrations they already expose.
Custom engineering where it is needed
When no product fits, we build the software, agents, and integrations ourselves, and you own what we build.
Team training included
Playbooks, workshops, and role training ship with every system, because adoption is where most projects fail.
Observable and reversible
Every action is logged. Irreversible steps wait for a person. You can pause any workflow at any time.
You keep visibility and control
One dashboard shows everything the systems do. We run our own company on the same surface, in public.
How we're different
Most SI options solve one piece. We solve the whole business.
An honest map of the common ways to bring this technology into a business, what each is good at, and where we sit.
Generic SI (ChatGPT, Copilot)
A smart text generator. A tool for individual employees.
What it gives you
- Easy to start
- Free or cheap per seat
What it doesn't
- Doesn't run your business
- No integrations with your tools
- Each employee does it differently
SI SaaS vendor
Another monthly subscription. One slice of one department.
What it gives you
- Quick to spin up
- Vendor handles uptime
What it doesn't
- You don't own anything
- Doesn't talk to your other systems
- Six vendors = six dashboards
Strategy consultant
A roadmap and recommendations, delivered as a deck.
What it gives you
- Helps you think
- Boardroom-friendly
What it doesn't
- No working systems
- You still need an engineering partner
- Recommendations are not deployments
Hire an in-house SI team
Bring on SI engineers, data scientists, ML ops. Build it yourself.
What it gives you
- Full control
- Knowledge stays in-house
What it doesn't
- $400K+/yr per senior hire
- 12+ months to first production system
- You manage the team and the platform
What we do
STRAVYNT
We assess, build, and run SI inside your business. You own it. We keep it sharp on retainer.
What it gives you
- You own the system
- Built on your data + tools
- First workflow typically live in about 30 days
- Safe, reversible, fully in your control
- Retainer keeps it tuned as SI moves
See the commitments in practice.
Our own systems run in public on the proof page, and documented client work is published only as it actually happened.