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COHERENT PLATFORM > SPARK

API-Driven Models
From Excel to Systems

Convert governed Excel models into high-performance APIs. Power pricing, underwriting, finance, and AI systems without rewrites or recoding bottlenecks. Move faster and reduce risk across existing platforms.

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All Teams Excel to API Coherent Spark

✔ Build & Deploy Everywhere

No code rewrites. No migrations. Upload your governed Excel model and get a production-ready API instantly.

✔ Zero Disruption

Users work in Excel. Enable actuaries, underwriters, and business owners to focus on their expertise, not on code.

✔ Enterprise Performance

Sub-100ms response times. Auto-scaling and scenario testing. Handle millions of requests with the same Excel logic.

✔ Single Source of Truth

With Coherent Spark, you can manage access, track changes, and enable business-led updates without introducing risk.

Clients & Partners

"Coherent lets us keep the flexibility of Excel while deploying updates instantly. Changing a single rating factor used to take weeks of dev cycles and late-night deployments. Now, we can do it in minutes."

- Actuarial Software Development Lead, Global Tier 1 Specialty Insurer

Connect Once. Deploy Everywhere

Spark APIs integrate with every major insurance platform and custom application.
No vendor lock-in. No proprietary formats. Just standards-based REST APIs.

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5 MINUTES
Tag Inputs & Outputs

Use Excel's name range manager to identify input cells. That's it. No rebuilding.

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10 MINUTES
Configure API

Point-and-click setup. Define endpoints, authentication, rate limits.

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INSTANT
Built-in Governance

Create controlled asset links for a single governed source of truth with full audit trails.

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ONGOING
Update & Deploy in Excel

Real-time changes and model updates automatically across all systems.

TRANSFORM - BRING NEW IDEAS TO MARKET

Faster Launches. Lower Cost. Measurable Impact.

Coherent Spark helps teams ship pricing, underwriting, and financial systems faster—without rewrites—so existing platforms deliver real returns sooner and at scale. Impact that compounds with every release.

80% Faster

Time to Market

$3M+ Saved

Per Product, Per Year

25% Revenue Uplift

from Modernized Pricing

Coherent Spark Governed Source Code Features
Governance without leaving Excel

Excel Becomes
Governed Source Code

Stay in Excel and bring workflow, version control, and audit logging directly into the spreadsheet interface.

Locks non-editable cells based on user role automatically

Workflow buttons in Excel (Submit, Review, Approve) replace email chains

Real-time validation of permissions and file version before actions

Instant audit trail access without leaving the spreadsheet

New Testbed Full Border
Automate testing at scale

Instantly Validate
Before You Deploy

Run targeted or randomized test sets drawn from Excel's data validation rules or full in-force books of business.

→ Auto-generate test cases: Leverage Excel's data validation rules

→ Run in parallel:Thousands of scenarios complete in seconds

→ Regression testing: Compare new results vs. baseline

→ Deploy only if: All tests pass OR differences are explained

Dislocation Analysis: Identify which logic changes cause premium movement. Explain impacts before deployment.

Impact Forecasting: Predict financial impact before release. Re-rate entire portfolio against new version.

Regression Testing: Every new version runs against full test suite and flag deviations from expected results.

Cross-Model Consistency: Validate logic consistency across products.

Version Control Flow Block
Full Version Control: Every change tracked

Git-Style Version Control
for Excel Models

Control end user spreadsheets without the red tape. Every update tracked, timestamped, and tied to a unique version ID. Easily compare versions, roll back changes, or deploy new ones safely. 

Version Control & Change Management
Complete formula-level history, approval documentation, rollback capability. Environment specific deployment.

Four-eyes | Dual Verification
Role-based access, approval workflows, enforced separation of duties

Immutable Audit Trail
Every download, edit, approval logged, get examination evidence in seconds

Explainability in Action
Full dependency mapping and calculation traceability

Model Explainability & Lineage

Understand exactly how your model works. Spark maps every dependency across underwriting, pricing, and product rules—maintaining full documentation automatically.

Trace variables through calculations from inputs to final outputs across systems

Map dependencies across the business from underwriting, pricing, and product, finance

Immutable audit trail with full documentation automatically

Complete calculation lineage from premium back to assumption

CASE STUDIES

Enterprise performance
for spreadsheet-driven systems

6x
faster launches without rebuilds
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4x
advisor tool delivery
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99.6%
faster modeling runtime
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90 days
from pilot to production
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80%
faster product launches
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$450K
development cost reduction
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“Spark gives us actuarial-grade accuracy without having to rebuild formulas in code, and it lets us launch digital tools in a fraction of the time. It’s fundamentally changed what our team can deliver.”

— Digital Experience Leader, Top 25 U.S. Life & Retirement Carrier

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One platform across the
product development lifecycle

For Business Leaders
Actuaries maintain model integrity in Excel while publishing approved logic directly to production—with built-in lineage, approvals, and audit trails that preserve actuarial intent at scale.
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For Technology Leaders
Business logic lives outside code and PAS, reducing backlog and simplifying integrations. IT maintains architectural standards while business teams execute change safely and independently.
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Deterministic by design

AI monitors and recommends, but never executes. Your logic runs transparently—100% auditable, zero black boxes.
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Enterprise-grade security

SOC 2 Type II certified. Your models, data, and business logic remain protected with institutional-grade security controls.
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Deploy on your terms

SaaS for speed, hybrid for flexibility, on-premises for control. Coherent adapts to your security requirements and data residency needs.

Ready to Deploy Excel Models
Without Rebuilding Them?

Coherent Spark converts governed spreadsheets into high-performance APIs for downstream systems and AI workflows.

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Frequently Asked Questions

How do teams turn Excel models into production systems?

Teams turn Excel models into production systems by converting spreadsheet logic into APIs that downstream applications can call. This allows Excel-based pricing, underwriting, and financial models to run inside policy systems, CRMs, digital channels, and AI workflows—without rewriting the logic in code.

Coherent Spark automates this process by transforming governed Excel models into production-ready APIs, so business logic authored in spreadsheets can be deployed, scaled, and updated like software.

How does Spark deploy Excel logic without rewriting it?

Coherent Spark eliminates rewrites by converting Excel logic directly into executable services. Instead of reimplementing formulas in Java or Python, Spark analyzes the spreadsheet, preserves the original calculation logic, and exposes it as an API.

When models change, teams update Excel and republish—no redevelopment cycle, no translation errors, and no IT backlog.

Does Spark produce the same results as Excel?

Yes. Coherent Spark is designed to produce outputs that match Excel exactly. APIs generated by Coherent Spark return the same results as the source spreadsheet, down to the penny.

This deterministic accuracy is critical for regulated use cases like insurance pricing, financial reporting, and actuarial modeling—where even small discrepancies are unacceptable.

Can Spark handle complex Excel models with VBA and advanced functions?

Coherent Spark is built for complex, enterprise-grade Excel models. It supports advanced formulas, multi-sheet dependencies, dynamic arrays, and VBA-based logic commonly found in actuarial, pricing, and financial spreadsheets.

If unsupported features are present, Spark identifies them upfront so teams can address issues before deployment—avoiding surprises late in the process.

Where can Spark APIs be used?

Spark APIs can be called by any system that supports HTTP requests. Common use cases include policy administration systems, underwriting platforms, CRMs, digital quote tools, data platforms, and AI-driven applications.

This allows a single Excel model to power multiple channels and systems—consistently and at scale.