BUILD VS. BUY

You Could Build This.
But Why Would You?

Shiny new AI object. Same old argument.
The true cost to build a presales engagement platform.

Trying to build it with Claude?
We get it. We use Claude too.

It’s the same build trap. AI makes building solutions faster. History tells us it won’t change the outcome. The build-vs-buy debate has played out for decades. Technology changes. Someone builds a tool. That person moves on. The tool ages. Nobody wants to support or maintain it. It falls behind the market, bug fixes pile up, model updates get skipped, and integrations break. Rinse and repeat.

The core argument is the one we’ve been hearing for years. It will never be as fast as buying a ready-made solution. You CAN build it, but what happens after that?

The true cost of “building it ourselves”

Token Cost & License Spend

  • Every SE needs an enterprise AI license—costs compound fast
  • You eat every token, retry, and overrun
  • No per-user predictability; spend grows with adoption

Sellers Should Be Selling, Not Tinkering

  • Time prompting is time NOT with customers
  • You hired SEs to win evals—not build software
  • “Go write tools” is a rabbit hole

Support Nobody Will Own

  • You build it. Who owns it?
  • Engineer left. RevOps is buried. IT disowns it.
  • SEs inherit a tool no one supports

Instynx.

You can’t keep up alone.

Today’s leading AI model isn’t tomorrow’s. Are you really going to re-architect your stack every time? There is an alternative. While your internal build fights for engineering capacity and budget, Instynx is steadily shipping features every cycle.

Instynx is AI native and LLM-agnostic. We swap models in and out as the market evolves, matching the right model to the right use case. You’re never locked into one vendor’s pricing, roadmap, or outage. And because presales is all we do, companies who buy get the benefit of every customer’s learning. Companies who build are alone with their own solution.

Building an internal presales platform sounds strategic until your engineering team is trapped in a cycle of endless maintenance and missed innovation.

Instynx: The beauty of being LLM agnostic.

Don’t give up your AI strategy. Make it work harder with Instynx. Bring your own models (Claude, OpenAI, Gemini, or all three) and your own keys. Token costs can sit on your existing AI contract instead of stacking on top of a per-seat bill. You get full usage visibility, predictable spend, and pre-built agents covering the entire presales day. From RFP, to discovery, demo, technical evaluation, and handoff. All in one product. All in one place

And because our R&D is amortized across every customer, you get more than you could ever build alone:

Cheaper at scale.
Our cost spreads across the customer base. If you build it, you fund it.

A roadmap you can plan against.
Real SLAs, real support, published timelines.

Continuous innovation, zero babysitting.
New models, integrations, and agents ship to you.

Built by presales, for presales.
Five years of domain expertise, AI native architecture and trusted by customers like Gigamon, Cyera, Halcyon, and Xactly.

Don’t Go It Alone.

Provarity Instynx gives your team a future-proofed, complete, presales engagement platform without the overhead, risk and maintenance of building it in-house.