[ technology venture studio + embedded engineering ]

No slideware.

...working software or nothing.

SQYER validates, builds, and launches practical software — our own ventures, co-built MVPs, and senior engineers embedded where the work actually happens. idea → mvp → production. we own outcomes, not tickets.

95%
of enterprise AI pilots never reach the P&L. the failure is deployment, not the model. // MIT NANDA, 2025
+800%
growth in FDE job postings in 9 months. supply grew ~50%. you can't hire this role — rent ours. // Live Data Tech, 2025
2–4 wks
raw idea → tested product direction, or a documented reason not to build. either answer saves you money. // viability sprint
[ pick_your_door ]

Two ways in_

[01 // founders + operators + domain_experts]
"I have an idea + a market edge."

you know a problem deeply. you need a senior product team to pressure-test it, scope it, and build the smallest version that makes money.

→ venture_build_partnerships
[02 // companies_with_stuck_initiatives]
"I have software that won't ship."

a stalled AI pilot. an automation that never left the deck. a workflow held together by spreadsheets. you need engineers who own the outcome.

→ forward_deployed_engineering
[ door_01 // venture_build_partnerships ]

Turn a promising idea into a tested direction

with founders, operators, and domain experts — the business case built in from day one.

studio-built companies reach series A in ~25 months vs ~56 for traditional startups. the model works because bad ideas die cheap + winners get built fast. // GSSN studio research

Venture Viability Sprint
[2–4 wks // fixed_fee // start_here]
01 → written product thesis + target customer
02 → market + customer validation evidence
03 → mvp scope, roadmap, pricing hypothesis
04 → pilot plan + commercialization path
05 → go / change / no-go, in writing
a "don't build it" is a cheap outcome. building the wrong thing costs 20× more.
MVP Co-Build
[scoped // after_the_sprint]

the smallest commercially useful product, built + piloted with real users. weekly working demos, not status decks.

good if: the sprint said "go," or demand is already validated.
Operating Partner
[ongoing // selective]

embedded through commercialization: pilots, iteration, pricing, and the scale / partner / pause / productize call.

good if: you want a partner with skin in the game, not a vendor with a timesheet.

* for the right opportunities: reduced-fee MVP builds with shared upside, licensing rights, or commercialization participation. aligned incentives, professionally structured, always your call.

>> start_a_venture_sprint
the
refuse
list_
slideware consulting
staff augmentation
AI demos that die in sandboxes
"we build anything" outsourcing
billable-hour theater
→ working systems that survive real workflows. that's the whole pitch.
[ door_02 // forward_deployed_engineering ]

Your pilot didn't fail. It was never deployed.

95% of enterprise AI pilots never reach the P&L — and nearly all failures trace to deployment, not models. the fix is engineers embedded inside your environment: next to users, data owners, security stakeholders.

not staff augmentation. not slideware. embedded engineering that owns outcomes.

FDE Opportunity Scan
[1–2_wks // start_here]

stalled initiatives + workflow pain → a ranked, buildable backlog with effort and impact attached. cheap, fast, brutally honest.

Solo FDE
[embedded // outcome_scoped]

one senior product engineer inside your team, shipping against a defined outcome — not a seat filled.

FDE Pod
[pm + lead + 1–3_fde + analyst*]

a complete delivery unit that owns an initiative end to end — stakeholder alignment to production. good for the initiative everyone's afraid of.

Fractional FDE Partner
[ongoing // retained]

retained senior capacity across initiatives — an engineering cadence without the full-time headcount war.

>> discuss_an_fde_pod

sqyer_labs

// proof we eat our own cooking

the same method we sell, run on our own money. statuses are honest — some of these will be paused, and that's the method working.

WorkSync
building

goal-to-toolchain operating layer: orchestration, coding agents, launch automation. our internal delivery engine first — it's why we move fast.

Quenchr
validating

marketing + growth automation for small businesses and creators.

Prospector
validating

land/property search, monitoring, enrichment + decision support.

Dealership Team
thesis

vertical saas for auto-dealer ops. early exploration.

[ operating_method: idea → working_system ]
01 → discover the problem
02 → validate the customer + business case
03 → define the smallest commercially useful product
04 → build or prototype quickly
05 → pilot with real users
06 → decide: [scale] [partner] [pause] [productize]
the flywheel ↺

fde work exposes repeated operational pain → pain becomes labs theses → shipped products become proof points → proof wins the next partner build + fde engagement → internal tooling (worksync) makes every next build faster. client work feeds the portfolio; the portfolio sells the client work.

Bring us the idea. Or the thing that won't ship_

two paragraphs is enough. here's exactly what happens next — no sales sequence, no discovery-call maze:

01 // send_it

email the idea or the stalled initiative. rough is fine. reply within two business days.

02 // working_session

30 minutes with a builder — not a salesperson. we poke at the problem together.

03 // straight_answer

a short memo: build it, change it, or don't. if it's "don't," we say so and save you the money.