The number
41 API modules in one operations platform, replacing four legacy apps
Product Engineering · Build what builders can’t
For ambitions that outgrow any prototype.
Multi-tenant SaaS, fintech rails, marketplaces and operations platforms, built by the same senior team that finishes prototypes. AI where it earns its keep, behind guardrails you can inspect.
30 minutes. A written gap map. No pitch unless you ask for one.
Product live but empty? Get a free Google Ads and tracking audit
Curious how AI-assisted delivery changes the timeline? See our documented delivery velocity.
4
brand storefronts on one multi-tenant backend, plus the flagship store
Venture we co-operate
receipt
SOURCE · Craveble platform monorepo
METHOD · Storefront apps deployed against the shared API.
VERIFIED · 2026-09
CLASS · repository
✓ every number on this site opens its receipt
CLAIM · storefronts
How we count
✓ tenant isolation
row-level security in Postgres
row-level security in Postgres
AI CFO · can look, cannot touch
01 · What you get
Platform engineering, with the guardrails written down.
Some products were never going to fit in a builder. This is what we build when yours is one of them.
01Platforms
Modular platforms that retire legacy sprawl
Cleanly separable modules over one API, shipped through merge gates and no-traffic canary revisions, with digest-verified rollback.
02Fintech
Real money rails
AI document reading, Plaid, Stripe and Bill.com, underwriting and collections. Every step that touches money has a system of record and an audit trail.
03Machine learning
First-party models that pay for themselves
Trained on your own outcomes, calibrated and explainable, with adverse-action reason codes where lending compliance needs them.
04Commerce
Multi-tenant commerce
Many brand storefronts on one backend, each tenant’s data isolated by the database itself, not by application code.
05Integrations
Integrations from any decade
Modern APIs to SOAP with WS-Security. State-changing operations are refused by default until someone explicitly enables them.
06AI
AI features with guardrails
The LLM extracts, the server decides. Read-only data roles, audit logs, kill-switches and penny-exact validation.
See the guardrails
02 · In production
Real businesses run on these platforms.
Meals shipped from a multi-tenant commerce platform. Bills paid on fintech rails. Photographs and captures of the work itself.
03 · How it runs
Platforms get built the way businesses get moved: carefully, in order.
Nothing goes dark while it moves. Every module ships with a way back.
AI speeds up the drafting at every step; senior engineers make every call that is expensive to reverse. How we build →
Step 1: Map what you have
We inventory the system as it really runs: modules, data, scheduled jobs, and the spreadsheets quietly standing in for software.
Out a written system map
Step 2: Foundation in the first migration
Tenancy, roles and audit trails go in first, so growth never needs a rewrite. Every new table knows which organization it belongs to.
Out a multi-tenant foundation
Step 3: Module by module
Each module ships through merge gates and a no-traffic canary revision, with a rollback that names the exact revision to return to.
Out modules live, rollback ready
Step 4: Integrations, write-safe
Feeds, payment rails and legacy systems, integrated with typed contracts and verified against staging. Writes stay off until someone turns them on.
Out integration tests on record
Step 5: AI where it earns its keep
Document reading, classification and plain-English questions over your data, each behind a deterministic check in code.
Out guardrails with tests
Step 6: Cutover while the business runs
Scheduled jobs keep running and permissions carry over intact. The old system retires only after the new one has taken its load.
Out legacy retired
04 · The ceiling, proven
The same team that finishes prototypes runs these.
Operations platforms, fintech rails and multi-tenant commerce we built. Every figure opens its receipt.
41
API modules in one operations platform, replacing four legacy apps
Retired along the way: ~349 legacy endpoints and ~130k lines of code across three stacks, none of it under CI.
receipt
SOURCE · Platform monorepo for a 12-rooftop auto group, plus the legacy-system inventory
METHOD · Module count from the API source tree; legacy figures from the pre-migration inventory.
VERIFIED · 2026-09
CLASS · repository
✓ every number on this site opens its receipt
CLAIM · platform-modules
How we countSince Aug 2021
a consumer bill-financing fintech in production on rails we engineer
Funded-bill history in the production database begins August 16, 2021.
receipt
SOURCE · Funded-bill records in a consumer-fintech client's production database
METHOD · Earliest funded-bill record in the system of record. This is a history claim, not an uptime claim.
VERIFIED · 2026-09
CLASS · platform account
✓ every number on this site opens its receipt
CLAIM · fintech-since
How we count2
paid risk vendors replaced by a first-party, explainable underwriting model
A calibrated LightGBM model trained on the lender’s own repayment outcomes, served with adverse-action reason codes.
receipt
SOURCE · Underwriting-model repository for a consumer-fintech client
METHOD · Model design documents and serving code; both third-party scores are blocked from training and serving by a guard in code.
VERIFIED · 2026-09
CLASS · repository
✓ every number on this site opens its receipt
CLAIM · vendor-replacement
How we count10 accounts · 9 entities
bank statements reconciled to the penny, every one checked against its printed totals
Beginning balance plus deposits, minus withdrawals, checks and fees, must equal the ending balance, or the statement is quarantined for review.
receipt
SOURCE · Finance pipeline repository for a 12-rooftop auto group
METHOD · Validation logic and database re-verification in the pipeline; failures are quarantined, never silently included.
VERIFIED · 2026-09
CLASS · repository
✓ every number on this site opens its receipt
CLAIM · penny-reconciliation
How we countThe work behind the numbers
The number
18,576 SMS delivered in 30 days, at a 91.1% delivery rate
The number
4 brand storefronts on one multi-tenant backend, plus the flagship store
05 · Straight answers
Questions we get before a platform build.
When is a prototype the wrong starting point?
When the product has to hold other people’s money, many tenants’ data or a regulated workflow from day one. AI app builders are good at screens and weak at those foundations.
We will tell you in the review whether to extend what you have or start the platform properly, and why.
Can you take over a platform another team built?
Yes. A boat-trip marketplace came to us as another vendor’s codebase, and for a 12-rooftop auto group we folded four separately deployed apps into one platform while the business kept running. The veterinary referral platform we operate began as a hand-off MVP whose README admitted it was incomplete.
How do you use AI inside the platforms you build?
Where it earns its keep: reading documents, classifying transactions, answering questions over data. Always behind rules in code. The LLM extracts and the server decides, data roles are read-only, sensitive actions leave an audit trail, and anything that touches money ships behind a kill-switch and penny-exact checks. Our Method page walks through real examples.
Does AI-assisted delivery really change the timeline?
For some work, a lot. We publish one documented delivery velocity example on our homepage, with its receipts, and we don’t turn it into a blanket discount. The review ends with a written plan, with scope, timeline and an estimate, either way.
06 · The front door
Find out what’s between you and production.
Bring your prototype, or just the idea. Leave with a written gap map — deployment, security, payments, integrations, growth readiness — before you spend a dollar. If we’re not the right team to close the gaps, the map is still yours.
30 minutes. A written gap map. No pitch unless you ask for one.
- Product live but empty?
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Get the Production Gap Checklist
info@synaptech.io Send us a message Pleasanton, CA