Modern Gravity
Why can't I just trust what my AI agent tells me?
Most cannot be trusted. Modern Gravity is the one that can.
Every AI agent sounds confident. The question is whether it is right. Modern Gravity is the AI agent built to earn trust: every answer grounded in your data, your definitions, your context. Every claim receipted. Every answer independently verified before it publishes.
Numbers Grounded. Audit Traceable. Board Legible.
Watch the Demo
See it in action
Watch the demo. Modern Gravity answering a strategic question with every number traceable.
Why Confident Is Not the Same as Correct
Pointing an Agent at Your Data Breaks Three Ways
You take Claude, Copilot, or whatever your team is running, point it at your data, and ask the strategic question. The answer sounds good. It breaks one of three ways.
1. Aggregates that drift on time math
Same question, two different answers, depending on whether the model picked your fiscal calendar or the calendar calendar. You cannot tell which answer was right until someone digs back through the output.
2. Details wrong from hallucination
Numbers fabricated mid-answer. The agent sounds confident through every word. The board prep doc goes out, the meeting goes sideways.
3. No understanding of the business
KPIs that mean something specific to your company come back generic. Nuanced channel and operating-segment definitions flatten. The answer is technically about your data and substantively wrong.
That is the gap Modern Gravity is built to close.
The Current Baseline
Numbers validated on a synthetic analytics dataset. The 0.95 target applies to registered KPIs with the metric registry and quorum verifier active. Reproducibility instructions publish with the metric registry at GA.
Pain 1. Time Math.
Your Calendar, Not the Model's Guess
Your fiscal calendar, your week-start, your period boundaries are not assumptions the model has to guess. They live in your brain as canonical definitions your operating leaders own.
Every aggregate Modern Gravity returns is computed against the time semantics your business has already locked. Q3 means what your business says it means.
The period definition ships with the answer, every time. Same question, same period, same answer. No drift.
Pain 2. Hallucinated Details.
Numbers Grounded, Not Generated
Every number Modern Gravity returns is grounded in your actual data, not generated by the language model. The agent produces verified answers, not fabricated figures. The number you get was computed, not invented.
Each answer ships with its receipt. The source data, the metric definition the answer respects, and the full reasoning trail. A claim and the complete audit record land together. An independent verification pass from a separate model family confirms the answer before it reaches you; two families have to agree.
Every answer traces to a metric definition your team certified, verified by an independent model from a separate provider. Your CDO can audit it; your CEO does not have to think about it. The number you see was grounded and verified, not generated.
Pain 3. No Understanding of the Business.
Your Operating Team Opens a File
Every other product in this category assumes a data engineering team stands up the model. OWL, RDF, proprietary schemas, semantic-layer YAML. None of them are readable by the people who actually own the metric.
Modern Gravity's business knowledge structure is designed in plain text. An operating leader will open a file in any text editor, edit a metric definition, and the agent will respect it on the next query. No re-deployment. No engineering ticket.
The business owns the definitions. Literally.
One Context Layer
Your Team Searches It. Your AI Reads It.
The business-context layer Modern Gravity builds does not exist only for the agent. Your team searches it directly: metric definitions, period boundaries, operating-segment structures, the decisions that determined what a KPI means at your company.
When your team and your AI draw from the same layer, the answer the agent returns is the same answer a senior analyst would reach, because they are working from the same ground truth.
The Comparison
Where Modern Gravity Sits in the Category
Versus enterprise GraphRAG (Stardog, Palantir)
Designed for mid-market pricing posture, not $1M-plus enterprise ACVs. Final pricing tiers publish at GA.
Versus bundled semantic foundations (Microsoft Fabric IQ, Databricks Unity Catalog Business Semantics)
Portable across warehouses, BYO LLM, and deployable inside the stack you already run. Not locked to one cloud or one vendor stack.
Versus accuracy-leading analytics agents
Every answer traces to a metric your team certified, independently verified before it publishes. Certified meaning, not model guesswork.
Versus catalog and metadata layers (Atlan)
Plain-text business knowledge structure your team edits in any text editor, not a vendor-defined schema your data engineering team maintains.
Modern Gravity is one product in the Truth Layer of AI Systems from Modern AI. See also: Modern Discovery / Modern Friction / Modern Foundation.
Bring Your Frontier Model
Use your existing frontier-model entitlement or bring your own. Modern Gravity plugs into your Anthropic, OpenAI, Google, or Meta access, whether that runs through AWS Bedrock, Azure OpenAI, Vertex AI, or a direct provider contract. Every answer is verified by two independent model families before it reaches you: both have to agree.
Answer Trace
Every Gravity answer is grounded in three things at once: your certified business definitions, the relevant context for the specific question, and a complete step-by-step audit trail. The objective and constraints are explicit at the top; the verified recommendation is explicit at the bottom. Illustrative prototype below; live answer traces ship per engagement.
Outputs
Board-Grade Answers, Audit-Grade Receipts
Verified Answers
Modern Gravity is designed so every answer will ship with its full audit receipt: the source data that produced it and the metric definition the answer respects. Receipts will be attached to every claim at GA.
Metric Registry
Canonical KPI definitions with owner sign-off. The verifier is designed to recompute each answer against a certified independent check. Disagreement will surface. No silent drift.
Quorum Verifier (roadmap)
Five independent reasoning passes; the answer ships only when they agree. Phase 2 capability targeting board-grade accuracy on registered KPIs.
Audit Packets
Every answer will be reproducible. Each reproduction will include the run identifier, the source data queried, and the metric definition version. Compliance-ready by design.
Built for Industry
Where Certified Answers Pay Back
Mid-Market Software
Your operations leader needs the revenue answer. Modern Gravity is designed to deliver it with a full audit receipt and the metric definition attached, on the warehouse you already run.
Marketplaces and Multi-Sided Platforms
Take-rate, gross margin, and contribution margin computed against certified metric definitions your team owns. Every answer carries a full audit receipt and independent verification. Board-defensible by design.
Healthcare and Regulated Industries
Answers grounded in certified definitions, verified by an independent model family, with a full receipt attached. Auditor-ready by default.
Financial Services
Plain-text business knowledge structure is designed so your controllers own the metric definitions. Audit packets are built to reproduce the answer end to end. The verifier is designed to surface drift before the board sees it.
Retail and CPG
Margin questions, returns rate questions, channel-mix questions. Modern Gravity is designed to answer them on the existing warehouse, with the definition your merchandising team owns in plain text.
Professional Services
Utilization, realization, project margin. The questions partners ask every Monday. Modern Gravity is designed to answer them with the same definitions the partners ratify.
Designed to Integrate With
On Top of the Stack You Already Run
Gravity sits on top of your existing warehouse and semantic layer. Read-only access by default. No data movement, no replication. Live integrations show in full color; designed integrations show in grayscale until they ship.
BYO LLM supported. Two independent frontier model families verify each answer by default. Customer-configurable across providers. On-prem option for regulated industries.
Buyers
Mid-Market, Board Legible
Decision Leader
The executive who has to defend the number. Verified answers and reproducible audit packets make leadership sign-off on agent output possible for the first time.
VP Data and Analytics
Technical sponsor. Plain-text business knowledge structure removes the data-engineering bottleneck on metric updates. Certified metric definitions and independent answer verification replace policy-only compliance postures.
Chief Data Officer
Architectural sponsor. Modern Gravity is portable across deployment postures, including air-gapped. It fits inside the architecture you already run without requiring you to rebuild around it.
Talk to Modern Gravity
Find out where your AI answers are quietly wrong.
We will review your context before we talk. No pitch deck. One conversation about the strategic questions you need to defend, and which ones your current setup gets wrong.
Modern Gravity is one product in the Truth Layer of AI Systems from Modern AI. See also: Modern Discovery / Modern Friction / Modern Foundation.
Modern AI platform. Discovery (live). Gravity (GA). Friction (build). Foundation (live).