About · Meet the team

The team behind Braiseflux, and the operator problem we built it for.

Every founder on the team ran a line on a ghost-kitchen tier before they wrote a line of code. We built Braiseflux against the same three pains we hit on those lines: the Saturday-night swing that turns a tier on its head, the four-tab reshuffle an operator pays to read its own operation, and the reviewer-feedback inbox an operator cannot staff in their own voice across three platforms at once. The product does not pretend those pains are easy; it pretends the operator should not be paying for them on every shift.

The loop modules that address each pain live on the solutions index · the day-by-day walkthrough of what the agents actually do sits on how it works.

What we believe

The operator stays the approver-in-chief. The agent stays the radar.

Braiseflux runs four agents across a single-cuisine storefront or a multi-brand portfolio — the radar agent, the menu swapper, the reorder draft, and the review reply. Every action ships as a draft an operator reads and approves; nothing ships without a human in the loop. Operators should spend the day reading the operation, not pasting it across four browser tabs. We believe the next decade of ghost-kitchen margin comes from closing the seams between platforms, not from adding another dashboard to the pile.

The four people

Four operators. Four different kitchen floors. One product.

The team is small on purpose. Every person on it has worked a Saturday-night tier, a Sunday-night reorder sheet, or a reviewer-feedback inbox on a multi-brand fleet, and the loop modules in the product descend directly from the pain each of them paid for on the line.

Co-founder · kitchen ops

Time-of-day swings

Mara Okonkwo

Cook on a two-brand Saturday-night tier, 2018–2023.

Mara spent five years running the Saturday-night tier on a two-brand ghost kitchen — smashburgers on one line, donburi on the other — and learned what the dinner rush actually costs: a mis-forecast on the noon SKU cascades into the 7pm stockout, and the operator who is supposed to be reading the numbers ends up plating. Braiseflux started as the spreadsheet she built that night to keep the two brands from cannibalizing each other. The product's demand-aware swap loop still treats that spreadsheet as the north star.

Co-founder · product

Platform fragmentation

Dani Rivas

Ops lead across three kitchens, two concepts, one Sunday-night reorder sheet.

Dani rebuilt the same reorder spreadsheet four times across three kitchens before they quit trying to fix it in a sheet and started building software. The early complaint that shaped the product was not "we need a better POS" — it was "we need to read DoorDash, Uber Eats, Grubhub, and our POS in the same sentence." The portfolio dashboard, the menu swapper, and the procurement loop all descend from that single ask. Today they run product against the principle that the agent stays the radar and the operator stays the approver-in-chief.

Founding engineer · agent surfaces

Reviewer-feedback lag

Priya Sundaram

Reply desk for a four-storefront pizza line, 47-minute average first response.

Priya ran the reply desk for a four-storefront single-cuisine pizza operator and watched the half-star drift — 4.4 to 3.8 over a quarter — track almost exactly with reply time on three separate platform-native inboxes she could not staff in parallel. The review-reply agent came out of that inbox. The constraint has stayed the same: drafts land in the operator's voice, the operator hits send, and no reply ships without a human reading it first. She still writes every prompt by hand.

Founding engineer · reliability

Time-of-day swings

Jordan Halverson

Courier dispatch lead on a six-storefront weekend fleet.

Jordan dispatched couriers on a six-storefront weekend fleet where the routing decision was the literal difference between a hot pizza and a cold one, and where the operator's only view of the queue was a phone-screen app that crashed under Saturday-night load. The courier routing loop and the resilient agent runtime underneath it both still answer to that Saturday night: nothing ships in the queue that an operator would not green-light in under a second, and the system stays up at the hour the kitchen cannot afford for it to go down.

Time-of-day swings
The tier moves the kitchen cannot forecast without help.
Platform fragmentation
The four-tab reshuffle an operator pays to read its own operation.
Reviewer-feedback lag
The half-star an operator drifts into because the inbox cannot be staffed in their own voice.

The cohorts we serve

Two operator cohorts, two different kitchen shapes.

Braiseflux ships against two cohort shapes that mirror the seams operators tell us about most. A single-cuisine operator runs one concept across multiple storefronts; a multi-brand operator runs two or more concepts out of one to three kitchens. The day-in-the-life pain, the procurement cadence, and the storefront tier move all change between the two — the loop modules key to the cohort you run.

Single-cuisine

One concept — pizza, wings, poke, bowls, halal — running across two to six storefronts with the same kitchen crew, the same menu, and the same Saturday-night tier problem on every storefront at once.

What hits them on a normal shift

Four marketplaces, the same menu on each one, and no single inbox in front of the operator.
Review replies that drift to 40-plus minutes because the operator cannot staff three platform-native feeds in parallel.
A recipe change that ships as four browser tabs of re-entry, so one storefront always lags the rest of the fleet.

Braiseflux loops keyed to this cohort

Review reply agent — drafts in the operator’s voice, the operator hits send.
Unified portfolio dashboard — one read of the storefronts, regardless of the platform feed.

Multi-brand

Two to five virtual concepts running out of one to three kitchens — the kitchen running a smashburger tier at noon, a donburi tier at 6pm, a Mexican tier on the second line, and a portfolio dashboard the operator reads in the morning.

What hits them on a normal shift

Three marketplace tabs, two POS streams, one Sunday-night reorder spreadsheet, and a procurement loop that lags the actual per-kitchen velocity.
A menu swap that has to publish to every storefront on the same minute, or one platform ends up selling what the kitchen has already 86d.
Margin drift from one underperforming brand soaking the prep queue while a healthier brand waits idle.

Braiseflux loops keyed to this cohort

Demand-aware menu swaps — score SKUs against margin, prep time, and saturation per micro-market.
Automated inventory reordering — count checks against par, reorder drafts land on the right warehouse on the right day.
Courier routing — the right courier on the right storefront, ranked by window, not by first-come.
Unified portfolio dashboard — the morning rank every multi-brand operator opens before lineup.

The cohort framing above matches the three anonymized operator cohorts on the case studies index.

Keep reading

Where to go next on the operator side.

The team bios above answer who built the product and why. The pages below walk what the product does in operator-side detail, what the cohort results look like on a real kitchen, and what the pricing fits.

Case studies — three anonymized operator cohorts, sized from a single 380-sqft multi-brand kitchen to a 3-kitchen 6-storefront footprint.
Field notes — the writing side of the operator-side work, with the per-loop math the next layer reads.
How Braiseflux runs the six-operator loop every shift — the day-by-day walkthrough of what the agents actually do.
Pricing — flat per-kitchen pricing that doesn't scale with the brand count.

Run the loop on your kitchen

Bring the four-agent bundle onto your kitchen, first month on us.

Connect the storefronts, POS, and distributors you already run, onboard one virtual brand, and watch the agent loops land on the line. First month free — $199 at month two — cancel anytime.

Start with the first month free →Read the operator-side solutions Talk to the team