A living twin of how your Salesforce actually got built.
Evidentra maps what your org is, what was decided and what constrains it — then serves that context to the people and the agents doing the work. A model knows common Salesforce patterns; it does not know yours. That gap is the difference between code that is valid and code that is right for your org.
In Salesforce, missing context becomes delivery risk.
The knowledge exists — scattered across Salesforce, Jira, GitHub, documents and the people who have worked on the platform for years. AI can now produce faster than any team could manually, but a model still works from the context it is given: without it, it takes the most likely route rather than the one your org already committed to, and the extra speed turns into rework and drift.
“Store the customer’s bank details.”
It sounds like one field. It can trigger decisions about personal data, encryption, Shield licensing, access controls and connected systems — and if those stay implicit, everyone works from a different version of the same task.
The executive suite
Approves the budget and the timeline before anyone knows the full impact.
Project and program management
Gets the business request without the dependencies and decisions that turn it into a plan.
Developers
Rebuild the context first, so every team and agent works from a different reading of the same org.
Quality assurance
Starts after the code exists, disconnected from the decisions that should judge it.
Evidentra maps 01 the environment, makes 02 the hidden decisions explicit, serves 03 context at the moment of work, and verifies 04 what was built against it.
01Understand the environment
Evidentra maps the org and its dependencies — objects, Flows, Apex, permissions, integrations — alongside the existing complexity, the architecture and the governance your delivery already runs under.
02Make the hidden decisions explicit
Business intent becomes constraints, architecture choices and prerequisite work before development begins — so the decisions a request implies are settled on the record instead of made silently, one developer at a time.
03Serve context at the moment of work
Developers and coding agents get the context and guardrails for the specific story in front of them, inside the tools they already use — without loading the entire codebase to find it.
04Verify against the same governance
Every pull request is assessed for code quality, security and alignment with the architecture that was agreed — checked against the same record that shaped the plan, not a separate reviewer's memory of it.
Evidentra turns context into delivery control.
Context has to survive every handoff between a business request and production, or it gets rebuilt from scratch at each one. Evidentra carries it the whole way: the plan, the build and the review all work from the same understanding.
- Executive suiteBusiness requestWhat the business asked for, in its own words.
- Impact assessmentWhat it touches, and which decisions are still open.
- Project & program managementDevelopment planConstraints, architecture and prerequisites, settled.
- TicketsWork broken down, each piece carrying its context.
- DevelopersAgent-assisted developmentDevelopers and agents query the org through MCP.
- Pull request verificationApex, Flows and LWC checked against the plan.
Ask it something that would take a week to reconstruct.
Pick a question and watch the answer assemble: the finding first, then the path through the graph it walked to get there, then the evidence it rests on. Same graph behind all three lenses — a sponsor sizing an investment, a project manager sequencing work, or an agent halfway through a ticket.
Connected to a Salesforce org and its repositories. 18,400 components linked to the tickets, decisions and discussions behind them.
Take Control of Your AI-Assisted Delivery.
We spent years on Salesforce programmes watching the reasoning behind an org walk out the door with the people who built it. Evidentra is what we wanted back then.
Thirty minutes, against your own org. We’ll walk one real request from impact assessment through to the pull request check — with zero setup required.
We are early, and taking on a small number of design partners — teams who want to shape the product rather than buy a finished one. More about where we are on our company page.