Mangold Systems

Brands & products built under our leadership

TerraIACarFinance.comMolina HealthcareNorthgate MarketsToshibaPetIQKnott's Berry FarmJohnny RocketsSugarfinaHi-ChewDita EyewearGuardian BikesG/FORESpringboard AutoChuck JonesLumeCubeFlame BroilerKBSulluJim CarreyGigasavvyTerraIACarFinance.comMolina HealthcareNorthgate MarketsToshibaPetIQKnott's Berry FarmJohnny RocketsSugarfinaHi-ChewDita EyewearGuardian BikesG/FORESpringboard AutoChuck JonesLumeCubeFlame BroilerKBSulluJim CarreyGigasavvy

01 · Capabilities

Four layers, one operating system for your business.

Every engineer is senior, US-based talent from the best pool there is. We do not outsource overseas where quality gets compromised.

Business & financial models

Unit economics, pro formas, and scenario models that hold up under diligence. The numbers a company actually runs and raises on, not a spreadsheet that breaks on contact.

Pro formasUnit economicsSensitivityCap tables

Software architecture & leadership

System design, data models, and the build, plus the hard part: standing up and leading the team that ships it. We have done this from greenfield to Fortune 100 scale.

Next.jsTypeScriptPostgresSupabaseVercel

AI workflows & automation

Agentic pipelines and automation wired into real processes and real numbers, measured by what they remove from someone's day, not by the demo.

Claude APIMCPRAGEvals

Audiences & personas

We use AI and a deep read of business and consumer behavior to build the customer personas and target audiences worth pursuing. We build the data and the model of who to reach; your media team runs the outreach.

PersonasSegmentationBehavioral dataTargeting

02 · Selected work

Financial platforms, Fortune 100 systems, and the brands people know.

CarFinance.com

Advanced direct-to-consumer auto-lending platform, one of the most sophisticated consumer-finance applications of its kind.

→ consumer fintech

Fortune 100 systems

Internal platforms built to streamline operations inside massive corporations, engineered and led at enterprise scale.

→ enterprise

Molina Healthcare

Digital and brand work for a Fortune 500 managed-care organization operating at national scale.

→ healthcare

PetIQ

Brand building and digital at scale for a national consumer-health company.

→ brand + digital

Gigasavvy

We co-founded, led, and sold an award-winning software and marketing agency, staffed with some of the best engineers in the industry.

→ founded & exited

Our platforms

Software we build, own, and operate.

We don't only build for clients. We run our own SaaS platforms in production, serving real businesses across LATAM.

TerraIA

Live · terraia.io

A multi-tenant real-estate development platform: investor portal, accounting, CMS, and construction in one. Its AI engine reads a developer's financials like a CFO, a general contractor, and an investor, with live revenue projections, IRR, and cost breakdowns.

terraia.io →

MXLEX

In development

An AI legal platform for law firms in Mexico, Panama, and Colombia. It does the paralegal heavy lifting: drafts contracts for attorney review, answers client email, writes briefs, and runs legal research citing statutes, case law, and precedent. Built for corporate, tax, structuring, securities, and family law. Not litigation or criminal.

03 · Technology

We build with whatever the job needs.

Modern stacks and battle-tested ones. From Next.js and Supabase to Magento storefronts and large custom PHP platforms, we pick the tool that fits the problem and the team that has to run it after we hand it off.

Frontend & apps

Next.jsReactTypeScriptTailwindReact NativeVue

Backend & APIs

Node.jsPHPLaravelPythonGraphQLREST

Ecommerce

MagentoShopifyWooCommerceCustom checkoutPayments

Data & databases

PostgreSQLMySQLSupabaseBigQueryRedis

Cloud & DevOps

VercelAWSLightsailDockerCI/CDCloudflare

AI & automation

Claude (Anthropic)OpenAIMCPRAGVector searchEvals

04 · AI

AI used like operators, not tourists.

We have shipped AI in production since the frontier models existed, not as a demo bolted onto a page, but as infrastructure wired into real numbers and real workflows.

Frontier models, with failover

We build on the best models available, Anthropic's Claude and OpenAI, routed through an AI gateway with provider failover and cost tracking, plus open models where they fit.

Production AI, not demos

Agentic pipelines, retrieval (RAG), and tool integrations over MCP, wired into your real data and processes and measured with evals. We ship AI that removes work, and we prove that it does.

AI that reads like a CFO

We have built AI engines that read a developer's financials the way a CFO, a general contractor, and an investor would, flagging risk before a project goes sideways. We treat AI as infrastructure: versioned, evaluated, observable.

05 · Financial modeling & intelligence

CFO-level modeling, shown in code.

We build the financial models a company actually runs and raises on: pro formas, unit economics, scenario and sensitivity analysis, IRR and DSCR, cap tables, and the business intelligence on top. Then we wire it into software. Here is a representative slice of one analysis engine reading a project's numbers the way a seasoned investor would.

analysis-engine.tsfinancial modeling

// A financial-analysis engine of the kind we build for clients.
// Read a project's numbers, prove what we can with deterministic
// rules, then escalate the rest to an AI lens that flags risk
// the way a seasoned investor would.

export async function runAnalysis(project, priorFindings = []) {
  const benchmarks = await getBenchmarks(
    project.assetType,
    project.market,
    project.unitCount,
  );

  // Deterministic rules first — math we can prove.
  const ruleFindings = RULES.flatMap((rule) => {
    try {
      return rule.run(project, benchmarks) ?? [];
    } catch (e) {
      console.error(`Rule ${rule.id} failed:`, e.message);
      return [];
    }
  });

  // Then the AI lens, for the risk the rules can't see.
  const context = buildContext(project, benchmarks, [
    ...priorFindings,
    ...ruleFindings,
  ]);

  const response = await analyze(context, {
    system: INVESTOR_PROMPT,
    model: "claude-sonnet-4-6",
    maxTokens: 1500,
  });

  const aiFindings = parseFindings(response)
    .map((f) => ({ ...f, severity: rank(f) }));

  return [...ruleFindings, ...aiFindings];
}

06 · Audiences & personas

We tell you exactly who to build for.

Using AI and a deep read of business and consumer behavior, we build the customer and consumer personas, segment your real audiences, and model who is actually worth pursuing. You get the business case, the financial model, the audiences, and the software that powers it all. We build the intelligence; when it is time for outreach, your media team or agency takes the personas and runs the campaigns.

Consumer & customer personas

Research-backed, behavior-driven personas that describe who your real buyers are, what moves them, and where they are in the journey.

Audience segmentation

The segments worth pursuing, sized and prioritized against your model so spend goes where the return is, not where the noise is.

Targeting intelligence

The data and the brief a media team needs to reach the right people. We hand off the intelligence; we do not run the ads.

07 · Approach

How an engagement runs.

STEP 01

Map the system

We start with what exists and where the friction is. You get an honest architecture and financial read from a team that has led builds at scale, not a sales deck.

STEP 02

Build the smallest thing that proves it

A working slice in production fast. Value visible before the big spend, not after.

STEP 03

Automate, scale, and hand off

We ship it on infrastructure your team can operate, stand up the people and process to run it, and make ourselves unnecessary.

We build the business models, the financial models, and the software that runs them.