Insurance

Insurance software, shipped predictably.
Pay per delivery.

Every insurance roadmap answers to a date that doesn't move: the state filing, the carrier certification, the investor milestone. Nolte ships to forecast at 95 percent accuracy, at a fixed price per delivery. If it doesn't ship, you don't pay.

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The stakes

Insurance punishes unpredictable delivery.

In most software, a slipped date costs momentum. In insurance it costs real positions. The MGA misses the filing window its capacity is priced against. The funded InsurTech burns runway while the roadmap its raise was priced on slips a quarter. The brokerage watches a digital native launch the experience it promised its book a year ago. Your roadmap is a set of commitments regulators, carriers, and investors are counting on.

Most teams answer those commitments with estimates. An estimate is a guess with confidence attached, which is why IT projects run 45 percent over budget. We answer with a forecast. NolteOS runs every delivery against 20 years of data and returns scope, timeline, and fixed price before we commit. Then we hold to it, at 95 percent accuracy, in 3 to 5 day cycles.

That is the difference between hoping your Q3 filing lands and planning around it.

What hasn't changed: insurance logic is unforgiving. The money path is deterministic. State filing dates don't move. Carrier certifications don't negotiate. Cheaper engineering only matters if the team building it knows the domain and ships on schedule. The cost collapse made owning your stack rational. Predictable delivery is what makes it safe. That's the whole job.

What changed

The math flipped.

The commodity layer of engineering collapsed in cost. Good engineering is still the hard part: systems that scale, hold up under carrier and regulatory constraints, and deliver value to the business predictably.

Five years ago, building your own insurance stack was irrational. The engineering was too expensive, too slow, too risky. So you rented a platform and structured your business around its limits.

That logic is gone. The cost of building core insurance systems has dropped by half, often more. In 2021 we built a full pet insurance MGA stack: policy admin, rating, quote-bind-issue, carrier integrations, and 50-state bordereaux. Today that build is faster and cheaper, which changes what you should own.

~HalfLower build cost

50States, bind-time bordereaux

95%Forecast accuracy

B2B2C + D2CQuote-bind-issue

NolteOS · Insurance Stack Forecast

Phase

Q1Q2Q3Q4

Strategy

Architecture, filings

Build

Policy admin, rating, QBI

Launch

Carrier certs, bordereaux

Full MGA stack50 statesOn forecast

Who we build for

One spine, three doors. Each buyer owns a different part of the bet. We derisk and deliver all three.

Funded InsurTech platforms

You raised the round. The roadmap is slipping.

No VP of Engineering yet, or a thin senior bench
Generalist engineers learning ACORD and rating logic on your burn
We are the insurance-native delivery team you can't hire fast enough. Your roadmap moves in 3 to 5 day delivery cycles, on forecast, without your senior engineers learning the industry on your burn.

CapacityDomain-native

Independent MGAs

You just secured capacity. Now you face the rent-a-platform decision.

Your structured underwriting data is the moat that compounds
Renting a platform quietly hands that data to the vendor's roadmap
We've built the entire MGA stack across 50 states, with bordereaux treated as a data-model decision at bind time.

Own your data50-state

Brokerages going digital

Founder-led, capital ready, losing ground to digital natives.

Your AMS runs the back office and nothing else
The platforms that handle quote-bind-issue don't build the experience that wins the policy
We build the digital front end on top of the systems you already run, so you compete like a digital native.

Front endQuote · Bind · Portal

Why the forecast holds

How we deliver predictably

A forecast is only worth what stands behind it. Three things do.

Senior operators, fluent in regulated industries

The strategic layer is human judgment. The people in the room built and exited companies in insurance, healthcare, and finance, where the money path is deterministic and getting it wrong is not an option. We built a full MGA stack from zero under live carrier requirements, so we know what to build and what to refuse.

AI-native delivery, backed by an Anthropic partnership

AI is not your product's differentiator. Your owned data and the experience your customer touches are. AI is how we deliver: a Claude-native process, built on an Anthropic partnership, that turned senior judgment into 75 shipped deliveries a month. AI is our method, not your moat.

NolteOS pay-per-delivery

NolteOS forecasts every delivery against 20 years of delivery data. Fixed price per delivery, 95 percent forecast accuracy, and billing tied to written acceptance criteria. If it doesn't ship, you don't pay. The pricing puts our revenue behind the forecast, which is why it holds.

Founders & Leadership

Jeffrey Nolte Managing Director2x Exits20 years building and scaling product companies in regulated industries.

Yanna Lopes Head of Products1x ExitLegal background turned product leader. Shapes strategy and holds the line on quality.

We're not yes people

The people in the room have built, scaled, and sold companies in regulated industries. We built a full insurance MGA stack from zero, under live carrier requirements and 50-state obligations, with our own money on the line. When we tell you something won't clear a filing or won't hold up in production, it's because we have been the operator who learned it the hard way.

We challenge the roadmap. We flag the regulatory risk. We say no when a build can't ship safely on schedule. A dev shop takes the brief and bills the hours. We protect the bet: the filing window, the raise it was priced on, the book you are trying to win.

Proven in production

A digital pet insurance MGA, built from zero.

Not a feature. The whole stack, under live carrier requirements and state regulatory obligations.

Policy admin, rating, and quote-bind-issue across B2B2C and D2C
Carrier integrations, claims handoff, and 50-state bordereaux at bind time
Delivered through NolteOS at 95 percent forecast accuracy, so deadlines and certifications landed on schedule

Read the full case study →

50States, bind-time bordereaux

B2B2C + D2CQuote-bind-issue

95%Forecast accuracy

3 yearsPartnership

More insurance work

The same forecast, across the stack.

From a brokerage front end to back-office automation, delivered on the same terms.

insurance

Pet insurance MGA built from zero: policy admin, rating, and quote-bind-issue across B2B2C and D2C, carrier integrations, and 50-state bordereaux at bind time.

3 yearsPartnership

View Case Study →

Entity network of carriers, agencies, and producers

insurance

Back-office automation for insurance distribution

Agent and agency onboarding, entity-relationship mapping, license compliance, and document workflow automation for insurance distribution, built for a confidential partner.

6 monthsPartnership

View Case Study →

Proof of partnership

Start with proof, not a pitch.

See exactly how we work before a long-term commitment. Seven production deliveries in 30 days for one fixed price of $10k. If it doesn't ship, you don't pay.

$10kFixed price

7Deliveries

30 daysStart to finish

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Insurance software, shipped predictably.Pay per delivery.