Boon

Boon is the Connected AI Platform for Fleets

We help carriers connect all their existing systems and automate data entry, dispatch and load sourcing

[Boon @get_boon]

Boon is hiring! If you are or know Principal and Staff Software Engineers, please apply here - https://t.co/OB1KLlZy9f

[Boon @get_boon]

About 41% of the construction workforce retires by 2031.

The preconstruction side gets hit hardest, and mentorship saves only ~30% of what a senior estimator knows.

Codify the judgment before it walks out the door.

https://t.co/SrqGKX3wM1

[Boon @get_boon]

Why a Mars-rover engineer turned down SaaS to build for the physical world.

@deepti_yenireddy on the Boon AI origin story with @reecejbarnes @adaptivebuilds on Builders, Budgets & Beers.

#Construction #AI

[Boon @get_boon]

ICYMI: 41 seconds on why generic AI loses to vertical AI on a plan set.

Full episode of @deeptiyenireddy on @reece_barnes's Builders, Budgets & Beers: https://t.co/cJngAA4Noc

[Boon @get_boon]

Industry-standard accuracy band on a conceptual construction estimate: -20% to +50%.

That's a $10M budget landing anywhere between $5M and $15M.

The fix isn't a new tool. It's making your firm's own historical project data accessible.

https://t.co/t2zFQLlPoz

[Boon @get_boon]

Deepti on what vertical AI actually requires to win this industry:
https://t.co/Zo1T0qRRpD

[Boon @get_boon]

Workflow. Bids feed contracts, contracts feed buyouts. An error on Tuesday surfaces on a jobsite six weeks later, after five other decisions trusted it.

[Boon @get_boon]

Accuracy. One percent off on a mid-sized takeoff is a fifty thousand dollar swing in the bid. The wrong number looks identical to the right one on the page.

[Boon @get_boon]

Private. Sealed bid sets, NDA archives, sub records. Almost none of the corpus that would teach a model real construction is on the public internet.

[Boon @get_boon]

Horizontal AI wins legal research, customer support, marketing copy. It cannot win construction. Three structural properties tell you why. 🧵

[Boon @get_boon]

The CFO case for AI in preconstruction:

28% avg cost overrun.
~32% of it from estimating errors.
50 to 70% of estimator time on manual takeoff.

AI doesn't shrink the team. It lifts throughput 30-50%.

https://t.co/nRnaojstfs

[Boon @get_boon]

"How many buildings are there in the US, how many plan sets? It's finite."

The hardest problem in construction AI is not the model — it's that the training data physically runs out.

Deepti on BBB Ep 77 with @verderamo.

[Boon @get_boon]

Deepti on the Construction Vision Model thesis:
https://t.co/aOZtR6apbE

[Boon @get_boon]

37 narrow models, each stuck at its own ceiling.
1 foundation model, where every trade lifts every other trade.

The architectural choice that decides the next decade of construction AI.

[Boon @get_boon]

Hyperscalers are spending half a trillion dollars on construction this year.

The labor isn't there to meet it without AI. From @deeptiyenireddy on BBB Ep 77.

https://t.co/cJngAA4Noc

[Boon @get_boon]

"The only thing I can control is my pace of learning."

Deepti on the one thing every construction-AI roadmap gets wrong.

From Builders Budgets & Beers Ep 77 with @verderamo.

[Boon @get_boon]

Deepti's framework for what makes a vertical AI company durable across the next decade of horizontal shipments:
https://t.co/GbGIG1IecF

[Boon @get_boon]

One moat used to be enough. Procore on networks. Veeva on data. Shopify on distribution.

Frontier models on a 6-month cadence changed the half-life of single moats. Three moats, not one.

[Boon @get_boon]

"This year we all became managers, because we manage AI."

Deepti on Builders, Budgets & Beers Ep 77. The estimator workflow shift in one line.

https://t.co/cJngAA4Noc

[Boon @get_boon]

Full piece on the three eras and what each one kept from the last:
https://t.co/TAOAjp7mRH

[Boon @get_boon]

Each era kept what the last one did well. Paper to digital removed the redrawing. Digital to AI removes the manual counting.

The rate-limiting step gets a layer of its own. The judgment stays with the estimator.