Built for benefits consulting

Senior judgment,
scaled.

Tessera is the AI-driven operating system that healthcare brokers use to manage analytics, actuarial, and compliance for self-funded employer health plans. We turn claims and eligibility data into the reports, projections, filings, and conversational answers brokers deliver to their clients every month.

The problem

The current business model is reaching its limit.

Self-funded plans cover ~65% of insured American workers. The firms managing them are stuck on spreadsheets and outsourced actuarial labor — while AI-native competitors pull ahead.

18 months to productivity

Experienced consultants cost $150K+ and take 18 months to reach full productivity. There aren’t enough of them — and hiring more isn’t a strategy.

Knowledge walks out the door

Institutional knowledge lives in senior advisors’ heads. When they leave, client history, methodology, and decision rules leave with them.

80%+ on low-value work

Your best people spend their days formatting spreadsheets and pulling data instead of producing, advising, and winning new business.

Zero leverage on revenue

Every new client requires more hours. You can’t grow revenue, upsell, or improve margins without growing headcount.

How Tessera works

Four steps. Every finding cited.

A purpose-built AI pipeline for benefits work.

  1. 01

    Ingest

    PDFs, XLSX, DOCX, scanned contracts, carrier exports. Tessera reads them all.

  2. 02

    Analyze

    Domain agents produce concrete outputs — trend curves, savings distributions, AV calculations, tier-rate projections — grounded in source data, not generic LLM prose.

  3. 03

    Cite

    Every finding links back to the contract clause, claim row, or filing it came from. No black boxes.

  4. 04

    Recommend

    Recommendations export as PPTX decks, XLSX models, or one-page strategic memos — ready for the client and defensible all the way down.

Your data, your boundaryIsolated per account · Read on demand · Never blended
The five levels of AI

Most firms plateau at Level 2.

AI is everywhere — but most of it stops at autocomplete. Real leverage starts when AI does the actual work: produces filings, generates projections, ships findings cited to source.

0
Spreadsheets and email
How most broker firms still work. Manual extraction, manual analysis, manual filing. No AI in the loop. Slow but predictable.
1
ChatGPT in a tab
You open ChatGPT in another window and ask it questions. Helpful for drafting emails or summarizing documents. Not connected to your data.
2
Vendor tools with AI bolted on
Your existing software vendor adds an AI assistant. Autocompletes fields, suggests next actions. Limited by what your vendor chose to expose.
3
AI doing the actual work
You set direction; AI runs the workflows. Contract review, claims analysis, projections, filings — produced end-to-end with citations. You manage quality, not keystrokes.
4
Fully automated workflows
AI runs entire pipelines without human checkpoints. Monthly reports, renewal recommendations, compliance filings — flowing automatically. You review exceptions only.

Tessera lives at Level 3 — AI doing the actual work, with the guardrails to keep it defensible. Domain-structured, citation-grounded, compliance-aware by default.

The differentiator

AI doing the judgment work, not decoration.

The differentiator isn’t AI in the marketing. It’s AI in the analysis itself — picking the right answer, generating audit-defensible output, classifying claims into actionable categories, mapping language to source documents.

Picks the right analysis from a question

Ask Tessera “why did Q3 claims spike?” — the agent decides whether to run high-cost claimant analysis, a utilization breakdown, or trend decomposition. Then returns the answer.

Audit-defensible attestations

MHPAEA NQTL parity verdicts ship with formal attestation language and citations to source plan documents. Audit-ready by default, not by retrofit.

Classifies claims into action

Claims sorted into actionable intervention categories — MTM, specialty drug management, financial audit, network risk — each with quantified savings opportunity and an implementation path.

Maps RFPs to your answer library

Tessera matches each RFP question against your firm’s curated answer library — with version control and approval workflow, not generic LLM completions.

Hours, not daysRelationships retainedMore accounts per analyst

Brokers ship in hours what previously took days, retain the employer relationship, and serve more accounts per analyst than was previously possible.

What Tessera does

Three pillars. One operating system.

The actual work your analysts do today — automated, cited, and finished by lunch.

Analytics

A growing library of production-grade reports computed on demand from your account’s claims and eligibility data.

  • Large-claimant tracking
  • PMPM trend & utilization
  • Rx concentration & disease burden
  • Plan performance comparison
  • Charlson risk scoring
  • Place-of-service distribution
New reports ship continuously

Actuarial

Actuarial-grade modeling that previously required an outsourced consulting firm — now available to every broker.

  • Multi-scenario claim projections
  • Plan-design AV calculator
  • Lag-triangle IBNR estimation
  • Aggregate stop-loss tracking
  • Risk-adjusted PMPM
  • Fiscal-year-end projections
Credentialed · audit-ready

Compliance

Federal filings produced end-to-end with audit-defensible output. New filings added as the regulatory landscape evolves.

  • RxDC
  • Schedule A
  • MHPAEA NQTL comparative analysis
  • Gag Clause attestation
  • Audit packages
  • Filing readiness scoring
End-to-end with attestations
AI cross-cutting all three pillars

Tessera Agent

Ask anything. Get a grounded answer. The agent reads your plan’s own data, picks the right analyses, and composes the response — with hard numbers, cited sources, and click-through to the underlying report. Verifiable, not generic.

Contract Review

Extract terms, surface missing clauses, compare versions. Flag override structures and renewal triggers, each linked to its source clause.

RFP Responses

Auto-populate proposal templates from your data lake and Knowledge Base. Tessera writes drafts in your firm’s voice.

New modules ship continuously

The platform expands continuously as new reports, actuarial modules, compliance coverage, and AI capabilities ship.

A day with Tessera

One agent. Every moment.

From morning briefing to compliance check — one conversation, grounded in your plan’s own data.

Morning briefing

Anything I should know about Acme today?

Tessera surfaces overnight activity, new claims, and any filings due this week.

Board meeting prep

Show me the worst-performing plan and why.

Risk-adjusted PMPM comparison across plans, with the drivers called out.

Renewal season

What’s our exposure on this renewal?

Forward projection, stop-loss attachment, and savings opportunities, all sourced.

Compliance check

Are we current on every CAA filing?

Status across MHPAEA, gag clause, RxDC and more — at a glance.

Sample analysis

$5.78M in hidden costs. 17 findings. Cited to source.

Representative output from a Tessera pharmacy benefit contract review. AI-powered analysis of 2 PBM documents (94 pages) covering pricing transparency, rebate structures, audit rights, fiduciary obligations, and termination provisions.

$5.78M
Total Hidden Costs
11.6%
of Annual Rx Spend at Risk
$385
Per Employee Per Year
86
Contract Risk Score
Top concerns
  1. The PBM uses separate MAC lists to bill your plan versus what it pays pharmacies, creating an estimated $1.8M in hidden spread-pricing profit on generic drugs. Your contract explicitly acknowledges this dual-list structure.
  2. A rebate pass-through loophole allows the PBM’s affiliated GPO to retain an estimated $1.26M annually in manufacturer rebates before passing the remainder to the PBM entity named in your contract.
  3. The contract redefines “Generic Drug” to include certain brand drugs dispensed with a DAW code, inflating the PBM’s reported performance by an estimated $680K per year while you pay brand-level prices.
  4. Audit rights are functionally neutered: rebate audits are capped at a 10-manufacturer sample, your auditor is legally barred from sharing findings with you, and biosimilars are excluded from guarantee calculations.
9 High Severity
6 Medium Severity
2 Advisory

Anonymized example. Actual findings vary by contract. Every Tessera output is cited to source documents.

Why now

This is not theoretical.

While most firms are still evaluating AI, the market is moving. The advisors who win the next decade are deciding right now.

Feb 3, 2026

Insurify launches AI insurance app in ChatGPT’s app store.

Feb 9, 2026

S&P Insurance index crashes 3.9%. WTW falls 12%. Worst single-day drop since 2008.

Feb 25, 2026

Harper raises $47M for AI brokerage. Handled 5,000+ accounts in 13 months.

Mar 3, 2026

BofA identifies $15B+ in broker commissions at risk from AI.

Gyde raised
$60M
AI-native brokerage platform
Insurtech AI share
75%
of all insurtech funding is AI
Underwriting AI
14% → 70%
adoption by 2028 (Accenture)
Insurance leaders
86%
increasing AI spend in 2026
Built by

Operators, not observers.

Years inside benefits and healthcare data. We’ve felt the pain points firsthand — and built Tessera to solve them.

NL

Neil Larson

Founder & CEO

MIT Sloan MBA. Former CSO at Benefit Science. Credentialed actuary for Aon and Gallagher. Former Head of Benefits for JBS.

  • Actuary
  • Industry Insider
  • MIT Innovator
YJ

Yangkang Jiang

Co-founder & CTO

Founding VP of Engineering at Adelphic. Former CTO at Benefit Science. SVP of Claritev — scaled enterprise data products to production.

  • Two acquisitions
  • Data & AI
JD

Jack Dickson

Analyst

University of Michigan Economics. Cross-functional analyst across sales, marketing, finance, and healthcare data.

  • Analyst
  • Development Operations
Implementation

Twelve weeks to full deployment.

Tessera is a SaaS platform — but it isn’t off-the-shelf. Each implementation tunes the analytics, actuarial models, and compliance modules to your firm’s data, workflows, and decision rules.

01

Discovery & Data

Weeks 1–4
  • Audit your firm’s data sources and workflows
  • Map decision rules and account-handling patterns
  • Design the data model and ingestion pipelines
  • Build and test data connectors; resolve quality issues
Deliverable
Data integration plan and connected pipelines, ready for configuration.
02

Configure & Connect

Weeks 5–8
  • Tune analytics, actuarial, and compliance modules to your firm
  • Build your firm’s Knowledge Base and answer libraries
  • Connect Tessera to your live data sources and systems
  • Eliminate manual hand-offs between tools
Deliverable
Tessera fully configured for your firm and running on your data.
03

Validate & Launch

Weeks 9–12
  • Run real cases through Tessera end-to-end
  • Compare AI-augmented results to your traditional output
  • Calibrate based on your team’s feedback
  • Hands-on training and go-live for your analysts
Deliverable
Live cases shipped and your team running Tessera in production.

See Tessera in action.

Thirty minutes with our team, on your data. We’ll show you what Tessera finds in the first 90 seconds, identify your highest-leverage workflows, and scope what implementation looks like for your firm.

Book a demo