A Los Angeles–based engineering firm

Not just products. Whole systems.

We design, build, and run enterprise-grade systems, end to end.

About us

True to our name, we’re an engineering firm that builds systems that act as a force multiplier.

Since 2012, we’ve built and run platforms that let our clients move faster, operate leaner, and compete well above their headcount.

Much of that work is in regulated industries like finance, payments, and health care, where compliance shapes every architectural decision we make.

Behind every platform is a long series of judgment calls. Our team has made them across dozens of systems and industries, and we bring that experience to each new build.

Industries

  • Capital markets
  • Payments
  • Regulated marketplaces
  • Health care
  • Logistics
  • Transportation

Lifecycle

How we work with you.

You'll always know where things stand, what comes next, and why.

  1. Plan

    Phase 01

    The challenge is rarely the tech. It's understanding how your business runs and what it actually needs. So we start by interviewing leadership and the teams doing the work to learn how things get done, where they get stuck, your compliance obligations, and what you're already running. From there we build a roadmap you can act on, with us or without us.

  2. Design

    Phase 02

    This is where your business needs become a technical blueprint: architecture, tech stack, data model, integrations, security controls, and where AI belongs and where it doesn't.

  3. Build

    Phase 03

    Our engineers build it in short increments, with updates you can see and test every two weeks. You'll have access to the code repository from the first day of the build.

  4. Launch

    Phase 04

    We handle migration, integrations, rollout, training, and go-live support. When we're replacing an existing system, the cutover runs incrementally and in parallel, with automatic rollback, so your business never goes dark. Nothing goes live until it's verified against the plan, cleared against your compliance requirements, and signed off by stakeholders.

  5. Run

    Phase 05

    Two ways to finish. We hand the system over to your team, fully documented, or we keep running it as a managed platform: hosted, monitored, patched, supported, and covered by an SLA, for one predictable monthly fee.

AI-native since 2024

While our human engineers own system architecture and every material decision, we use AI to write much of the routine code. Every change is gated by engineer review and automated tests before it ships. For you, that means cleaner code, thorough documentation, and working software in about half the usual time, from a team that knows how to harness AI.

Systems

Some of what we’ve built.

Capital Raise Investor Portal

KYC, AML, bank linking, and funding for an SEC-registered securities offering

TypeScriptNestJSPostgresS3ReactDocker

An investor portal for a company raising capital through an SEC-registered offering. An investor opens an account, verifies identity, links a bank, signs the subscription agreement, and funds the position in one sitting. Identity, AML screening, and bank credentials are captured on the investor’s device and sent straight to a vault built to hold them. The portal receives a token in exchange and stores only that, so no Social Security number or account number ever lands in its database, and when an operation needs the underlying data, the portal hands the token back to the vault, which does the work, and the data never comes out. Signed agreements are encrypted at rest in a private bucket and served only through short-lived presigned links. ACH funding meets FINRA requirements and was approved by the managing broker-dealer. Interest accrues on an integer-cents ledger, and every verification, signature, and movement of money is written to an audit trail the issuer can hand to counsel or a regulator.

AI Governance Layer for Operational Data

A drop-in MCP server for ungoverned data, with zero-trust identity and PII controls built in

TypeScriptMCPOAuth

An AI layer that lets a company’s team query its existing ungoverned operational data from Claude or ChatGPT. Every request is verified with single sign-on before it reaches the server, and each request gets its own server instance bound to the verified caller, so one session can never see another’s results. Sensitive information is redacted on the server before anything reaches the AI provider. Social Security numbers, bank details, and other personal data are stripped or masked at the source, so the model can answer questions about customers without ever seeing who they are. The result is AI adoption at speed, with an audit trail the company can defend to regulators.

Business Messaging Agents

White-label AI texting agents that run on top of a company’s existing API

TypeScriptNestJSBullMQPostgresRedisS3MCPKubernetes

A multi-tenant messaging platform that puts an AI agent in front of a business's own systems. Customers text the business over RCS, iMessage, or WhatsApp, with SMS as the fallback, and the agent answers by calling the business's API, with every request signed to RFC 9421. Input and output guardrails check every turn, everything lands in a full audit log, and when a person needs to step in, the conversation hands off to Zendesk, Salesforce, or Intercom. Designed for HIPAA-regulated workloads.

Document AI Extraction

Schema-driven extraction, validation, and reconciliation for business documents

PythonFastAPIpandasPostgresS3Docker

A pipeline that turns unstructured business documents (reports, agreements, statements, and forms) into validated records in a company’s system of record. Each document type has a schema that defines the fields to pull, their formats, and the rules that tie them together. A model reads each document and extracts every field with a confidence score and the page and line it came from. Any field that scores below the threshold branches off to a person before anything else runs: the reviewer sees the value beside the highlighted source, confirms or corrects it, and the verified value rejoins the pipeline. Every correction is logged, which gives each document type a running measure of extraction accuracy.

Accredited Investor Verification

AI document review for an SEC-regulated capital raise

PythonFastAPIS3Docker

A compliance platform for a capital raise under SEC Rule 506(c), which lets an issuer advertise an offering publicly as long as it verifies every investor is accredited. Investors upload proof: tax returns, account statements, or a verification letter from a CPA, attorney, or registered adviser. An AI pipeline reads each document against the rule’s requirements (the right document for the claimed basis, matching names, thresholds met, statements dated within three months, a qualified signer) and scores it. Anything below the threshold goes to the investor relations team with the reasons attached, and IR follows up with the investor. Every document, score, and decision lands in an audit trail the issuer can hand to counsel or a regulator.

California-Compliant Cannabis Delivery

METRC reporting, age verification, and licensed-dispensary dispatch for California’s regulated cannabis market

TypeScriptNode.jsFastifyPostgresPostGISReactS3

A delivery ordering platform built for California’s cannabis rules, where every sale has to come from a state-licensed retailer, reach a verified adult, and be reported to METRC, the state’s track-and-trace system. One storefront serves many independently licensed dispensaries. Each dispensary has its own license, delivery radius and order inbox, and its orders are kept separate from every other dispensary’s. Based on the customer’s location the platform matches them to the nearest active dispensary, using a geospatial distance lookup. At checkout the customer photographs their ID; the platform OCRs it and checks the date of birth and expiration before the order is placed, rejecting anyone under 21 or holding an expired ID. The ID details are attached to the order, and every order carries the dispensary’s state license number. The dispensary dispatches a driver and the customer gets real-time updates as the order moves. At handoff, the driver app scans the customer’s ID and matches it to the order; a match lets the driver close the order, and a mismatch cancels the delivery and returns the product to inventory. Sales export in METRC’s format, so each dispensary’s state reporting comes straight from its order history.

Car Rental Operating System

Booking, ID verification, AI support, and keyless pickup for independent car rental operators

TypeScriptNode.jsFastifyReactPostgresS3

A white-label platform that gives independent car rental operators the self-service operation of a national brand. Each tenant runs its own fleet, locations, pricing, availability, seasonal rates, fees, rental rules, and promos. At booking, the renter uploads a driver’s license; the platform OCRs it, verifies the license is valid, and checks the date of birth against the tenant’s minimum age before the reservation confirms. Support runs through an AI agent fine-tuned to the tenant’s settings and custom instructions, answering over web chat or text message, and connectors let the tenant’s CRM text renters directly. The renter’s card is tokenized at checkout, so the business can later charge for fuel, damage, citations, fees, a late return, or an extension without the renter present. Integrations with in-vehicle hardware and key lockboxes let a renter pick up and drop off a car with no one at the counter.

Shipping Container Marketplace

Geospatial depot matching and per-depot pricing across a nationwide container inventory

JavaScriptNode.jsExpressPostgresPostGISjQuery

An ecommerce platform for selling graded shipping containers from depots across the United States. Each depot has its own pricing model: its own base cost for every container, its own markup and per-mile trucking rate, and its own delivery radius. A buyer enters their location and the platform matches them to the nearest depot within delivery range using geospatial lookup. It then prices the full catalog of sizes and grades with that depot’s pricing, adding local sales tax and delivery minimums automatically. At checkout, the buyer pays by card through a PCI-compliant processor, so card details never touch the platform’s servers.

Some of the partners we’ve built with.

Payments
  • Stripe
  • Plaid
  • Dwolla
Identity & messaging
  • Persona
  • Auth0
  • Twilio
  • Sendblue
  • Meta
Inference
  • Anthropic
  • OpenAI
  • xAI
Infrastructure
  • AWS
  • Google
  • Microsoft
  • Cloudflare
  • Grafana
Data
  • Snowflake
  • Airbyte
  • Mapbox

Engagements

From advice to fully managed.

PlanDesignBuildLaunchRun

Strategy & Advisory

Most engagements start here. We assess strategy and architecture so you get an honest answer before committing to a build, and provide interim technology leadership if needed. Already have a systems plan, or need one specific product or AI integration? Skip ahead.

  1. 01 Interim and fractional CTO: operating model, hiring plan, release process, and engineering SOPs
  2. 02 Technology and systems roadmaps, architecture and code reviews
  3. 03 Compliance and data-handling reviews
  4. 04 Build-vs-adopt assessments and vendor selection
  5. 05 AI readiness assessments, AI use policies, and governance frameworks

Design & Build

New systems and legacy replacements, designed, built, delivered to production, and handed off to your in-house team.

  1. 01 AI-native architecture and system design
  2. 02 Built by our engineers and held to strict code quality standards, with senior architecture oversight throughout
  3. 03 Integration with your existing tools and data
  4. 04 Full knowledge transfer to your internal team, with documentation, runbooks, and training
  5. 05 Zero-downtime migrations from legacy systems, run in parallel and fully reversible
  6. 06 Coordinated reviews with your compliance, legal, and leadership teams before launch
  7. 07 Launch support and stabilization, with the option to have us run it long term

Applied AI

Integrate AI safely into the systems and workflows you already run: governed, auditable, and measurable.

  1. 01 LLM and agent integration into existing workflows and platforms
  2. 02 AI data gateways (MCP) that give your team authenticated, PII-safe access to company data through AI assistants
  3. 03 Document processing, fraud and anomaly detection, intelligent routing, AI-assisted reporting
  4. 04 Guardrails, evaluation, and human-in-the-loop review by design
  5. 05 Data boundaries and audit trails that satisfy regulated-industry requirements
  6. 06 AI use policies and governance frameworks

Managed Platforms

We build the system your business needs, then host, maintain, and support it for one monthly fee.

  1. 01 A full build engagement, then ongoing operation instead of a handoff
  2. 02 Hosted, monitored, patched, and upgraded by us, under a defined SLA
  3. 03 Security and compliance controls included and kept current
  4. 04 No infrastructure to own, no engineers to hire, and no on-call rotation, all at a fraction of in-house cost

Contact

Start with a conversation.

Thirty minutes on your systems, constraints and timeline. You leave with a clear next step.

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