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Comparison

Kaiju vs AI agents

AI agents can research accounts, use tools, call APIs, and automate multi-step work. A team building its own sales-intelligence system still has to define what to watch, preserve evidence and history, manage permissions, evaluate results, and keep the workflow reliable. Kaiju V1 provides account Research, explicit Lists, supported Signals and inspectable evidence. Dynamic Lists, automated Fit/Priority scoring and Buying Windows are planned beyond V1.

build alternative comparison

Kaiju may fit when

Choose Kaiju for source-backed account Research, explicit Lists, supported Signals and evidence your team can inspect. Dynamic Lists and automated prioritization are planned beyond V1.

AI agents may fit when

Build with agents when your team wants full control over the research and automation system and is prepared to own its data model, evaluation, permissions, reliability, and maintenance.

Use both when

Agents can consume Kaiju intelligence and perform downstream work once Kaiju exposes the appropriate tool, API, or MCP surface. That keeps domain state durable while agents remain flexible execution clients.

Decision table

Compare the jobs that matter.

What you receive

Kaiju

V1 centers on account Research, supported Signals and evidence. Dynamic Lists and automated Fit/Priority scoring are planned beyond V1.

AI agents

Agent frameworks provide model access, instructions, tools, handoffs, guardrails, tracing, memory, MCP connectivity, sandboxes, and orchestration primitives for you to compose.

Research

Kaiju

Research feeds a durable account record with provenance, timestamps, coverage, conflicts, unknowns, and seller-neutral facts before sales interpretation.

AI agents

An agent can browse, search files, call internal tools, inspect systems, and synthesize an answer; the application must decide which outputs become durable records and how they are normalized.

Signals and time

Kaiju

Signal definitions are versioned sales semantics; occurrences have evidence, time, state, freshness, and lifecycle separate from filters and list membership.

AI agents

A custom agent system needs its own definitions, event history, temporal rules, deduplication, state transitions, expiration policy, and evaluation if those properties matter.

Account sets

Kaiju

V1 Lists contain the companies you choose. Supported fact filters narrow the results. Dynamic Lists that automatically change membership are planned beyond V1.

AI agents

Agents can query or construct account sets, while the surrounding application must persist membership, refresh rules, provenance, and change history when those sets need to survive individual runs.

Reliability and governance

Kaiju

Kaiju owns the product contracts for evidence, signals, list state, account projections, and integrations as the platform matures.

AI agents

The builder owns tool permissions, prompt-injection defenses, credential isolation, traces, evals, retries, checkpoints, model changes, deployment, and operational maintenance.

Agent role with Kaiju

Kaiju

Kaiju can become the durable intelligence layer an agent reads before deciding or acting.

AI agents

The agent remains useful for flexible reasoning, research tasks, drafting, and execution across tools without becoming the sole system of record for account intelligence.

Same companies

Test the results.

  1. 1Choose the same familiar companies.
  2. 2Check the fields, evidence, misses, and unclear cases.
  3. 3Count the work required before the result is usable.

Bottom line

Use the same companies in both products.

Compare the result your team would actually use.

Privacy choices

Optional website tracking

These choices control optional browser tracking on Kaiju's public website. The app asks separately for identified product analytics. Turning Analytics off here also stops optional app analytics. These choices do not change information you intentionally submit through a contact, evaluation, or meeting form.

Essential

Website delivery, security, forms, and this saved preference.

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