From underwriting to claims to market expansion. GP's neuro-symbolic engine reasons across the entire insurance value chain, delivering explainable decisions that compound over time.
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Risk selection & pricing
GP EnabledDynamic premium optimization
GP EnabledPortfolio-level risk management
GP EnabledSettlement & litigation
GP EnabledCapital efficiency
GP EnabledGrowth & new entry
GP EnabledGP ensures your client covers individuals less likely to have a claim filed. By integrating malpractice court data with NPI numbers, we build NSAI knowledge graphs for providers and judicial entities, transforming how underwriting decisions are made.
NSAI-built knowledge graphs connecting providers, judicial entities, and historical outcomes
Telematics, safety, geographic, and social data integrated into unified underwriting models
Underwriting models improve with every decision outcome, compounding accuracy over time
Move from static actuarial tables to dynamic, data-driven pricing that adapts to real-world risk signals. GP's reasoning engine combines internal loss data with external market intelligence to optimize premiums at the individual policy level.
Real-time data feeds from IoT and telematics devices for precision risk pricing
Market-aware pricing that balances competitiveness with profitability targets
Identifying emerging risks to proactively adjust policies, premiums, and risk mitigation strategies before losses materialize. GP monitors market signals, regulatory changes, and loss patterns to surface risks early.
Continuous monitoring of loss patterns, market shifts, and regulatory signals
Understand concentration risk, correlation effects, and systemic exposure
GP built an agentic AI solution enabling 150 claims employees to pinpoint potential outcomes by judge, attorney, case type, and jurisdiction, down to the county level. Automated data filtrations and cited sources reduce research times dramatically.
Interface enabling claims teams to identify potential outcomes by judge, attorney, and case type
County-level insights on judicial behavior, settlement trends, and venue dynamics
Data-driven recommendations on when to defend and when to settle
By improving claims precision, GP enables significant reserve reductions, freeing capital that can be redeployed into growth initiatives. Loss reserves are reallocated for new market expansion in identified high-opportunity markets.
Precision claims management reduces the need for conservative reserve buffers
Freed reserves redirected to growth initiatives in identified high-opportunity markets
Leverage claims savings and underwriting intelligence into new market entry plans. GP identifies the most profitable markets for expansion by geography, offering type, and customer segment, transforming defensive savings into offensive growth.
Identify and prioritize new markets based on risk profiles and profitability potential
Data-driven identification of new product lines and coverage types
Real workflows deployed for real insurers, with measurable economic impact.
A leading E&S property insurer looking to transform their litigation strategy. GP built an NSAI-enabled claims optimization agent that fuses internal claims data with curated external intelligence to dynamically score venues, guide defend/settle strategies, and surface high-risk claims early.
A specialty insurer focused on healthcare, legal, and medical technology sectors with ~$1B in revenue. GP built an agentic AI solution enabling claims teams to benchmark cases, understand local markets, and reduce research time, with the end game of shaping go-to-market strategy across new geographies.
Across our insurance deployments, GP consistently delivers venture-scale economic outcomes.
Jonathan Ritz, CEO of CoAction · WSIA 2025
From claims optimization to market expansion, see how the enterprise reasoning platform transforms your value chain.