Salesforce vs. Lightfield

Salesforce vs. Lightfield

The next generation of companies isn't choosing Salesforce. Salesforce was architected over twenty years ago for a different way of working: humans updating records and storing data in fields. Now that agents can do most of the customer-facing work companies used to hire for, that architecture is the constraint. Agentforce and Claudeforce put frontier models on top of it, but the quality of agent work is limited by what the agent knows about your business and your customers, and a record built for data entry captures too little of reality for agents to work from. Lightfield was designed as an agentic CRM from the ground up: a record that updates itself from every call, email, and meeting, a data model agents can reason through, and pricing built around workspace plans and agent work instead of per-seat AI add-ons. 14-day free trial on Starter, no admin required.

Why Lightfield is the #1 Salesforce alternative

A record that updates itself, not a database reps type into

The record of a call in Salesforce is whatever the rep entered after the call, if they entered anything at all. Auto-capture tools like Salesforce Activity Capture help with the typing, but the sync is lossy: an hour of conversation gets compressed into a summary field and a stage change, and the schema has nowhere to put what an agent actually needs, this quote, from this person, about this deal, and what changed because of it. Lightfield ingests every interaction your company has, email, meetings, calls, Slack, LinkedIn, product events, and stores it losslessly, so the texture survives. It also watches the open web for what moves your market: funding announcements, job changes, regulatory filings. Connect your email and calendar and the record starts writing itself. No chasing reps, no data decay, and every change carries a decision trace so you can see the reasoning behind it.

Built for agents, not an AI wrapper on the old architecture

Agentforce and Claudeforce exist as AI layers over the same database architecture that was designed for human data entry. Per Salesforce's own documentation, Agentforce grounds answers with retrieval-augmented generation in its Atlas reasoning engine: records are converted to text, split into chunks, embedded, and the chunks whose wording looks most like your question get fetched and summarized. That works for a question that sits in one document, like a discounting policy. It's the wrong way to understand a relationship, which is a sequence of events. Lightfield models your business as a chronology agents can traverse: relationships as edges, events in the order they happened, and meta-context on every record so the agent reads the three records it needs instead of the thousand that mention the deal. Same frontier models, higher-quality answers, and a fraction of the token cost.

Pricing that charges for work, not who logs in

Salesforce is priced per seat, and its AI is priced on top: Agentforce add-ons, Flex Credits for agent consumption, and the editions that unlock them. Per-seat pricing has a structural problem in the agent era: agents that genuinely do the work reduce the seats you need, which is the one outcome a seat-based business can't afford to deliver. Lightfield Pro and Growth are priced per workspace, with agent work drawing on pooled workspace credits, and include unlimited viewer seats so everyone at your company can access the record.

Salesforce vs. Lightfield

The architectural gap underneath the feature checklists.

Feature: Record updates itself from every call, email, and meeting
Lightfield: Yes, lossless capture out of the box
Salesforce: Activity Capture: admin setup, syncs summaries and field updates

Feature: Full conversations preserved, not summary fields
Lightfield: Yes, transcripts and threads attached to the people and deals they affect
Salesforce: Conversation Insights: add-on license, summaries sync to fields

Feature: Data model agents can reason through
Lightfield: Events in sequence, relationships as traversable edges
Salesforce: Tables and fields designed for report rollups

Feature: How agents retrieve context
Lightfield: Traversal with meta-context: reads only the records it needs
Salesforce: Retrieval-augmented generation over chunked, embedded data (per Salesforce's Atlas documentation)

Feature: Reasoning behind every record change
Lightfield: Decision traces, visible on hover and queryable via API
Salesforce: Field history tracks who and when, not why

Feature: Natural-language queries, automations, and dashboards
Lightfield: Yes, no Flow or Apex
Salesforce: Agentforce: configured per use case, Flow or Apex for custom actions

Feature: Choice of AI model
Lightfield: Yes, per automation, with a model router on the roadmap
Salesforce: Tied to platform integrations

Feature: Open access to your data
Lightfield: Full CRUD via API, MCP, and CLI; our agents run on the same public API
Salesforce: Varies by edition; MCP server in beta

Feature: Pricing model
Lightfield: Starter is $89/user/month. Pro and Growth are priced per workspace, with unlimited viewer seats and pooled workspace credits for agent work
Salesforce: Per seat, plus AI SKUs and consumption credits

Feature: Migration
Lightfield: Under an hour for most teams
Salesforce: Weeks of implementation

What you get when you switch to Lightfield

Everything the AI-on-Salesforce stack promises, delivered by a system that was designed for agents from the start.

A CRM that fills itself in

Every call, email, and meeting logged automatically. Contacts created, deal stages updated, notes written from what was actually said, not what a rep remembered. Lightfield listens to the conversation itself and structures the record from it, and because the raw interaction is stored losslessly, nothing gets flattened into a picklist on the way in. Connect your email and calendar; everything after that is automatic.

Follow-ups that ship, not admin tickets

Salesforce's Agentforce can draft follow-ups, but it is configured per use case, and an admin has to wire it into your workflows. Lightfield reads what was said on the call and writes the email for you the moment the meeting ends. In your voice. Referencing the specific objections and next steps your customer mentioned. No SKU, no setup, no admin.

Follow-ups written from what was actually said

Lightfield reads the call and drafts the follow-up the moment the meeting ends, in your voice, referencing the specific objections and next steps your customer raised. The same context powers meeting prep, deal reviews, and pipeline answers, because the agent works from the full history of the relationship rather than a summary field.

A data model that fits how you sell

Lightfield's data model is schema-less underneath: ground truth is the raw record of your customer conversations, and objects and fields are layered on top. Add a field today and Lightfield backfills it from months of conversations you've already captured. Rename stages, restructure your pipeline, add custom objects that match your world, all without an admin ticket, and every past conversation stays intact.

Pricing without the surprise bill

Agent work is metered in credits with transparent costs: you see what an automation will consume before you deploy it, usage is visible by user and type of work, and you can set alerts at thresholds you choose. We bundle automation credits into every plan so most companies will never see an overage. Admins control which users can trigger credit-intensive work, and you pick the model each automation runs on to balance cost and depth of reasoning. The price of the work is knowable before the work runs.

The agentic CRM, out of the box

Meeting intelligence
Description: Records, transcribes, and extracts deal context from every call, synced to the right account automatically.

Email sync and analysis
Description: Reads your inbox to surface contacts, deals, and next steps without you forwarding a single email.

AI agent
Description: Ask anything about your pipeline in plain language: deal status, rep activity, at-risk accounts, why a deal was lost.

Workflow automation
Description: Build automations in natural language that watch your record and the open web, and act on what changes.

Flexible data model
Description: Add fields, rename stages, and restructure your pipeline on the fly, with historical backfill and no data loss.

Open platform
Description: Full API, MCP, and CLI access, plus your choice of AI models. Your stack and your agents ground in the same record.

Switch now. Imports your records in under an hour. Book a demo.