SimplAI
Also known as: SimplAI Studio, simplai.ai, Datafuse Technology Inc
Datafuse Technology Inc builds SimplAI, an enterprise agentic AI operating system for building, orchestrating and governing multi agent systems across cloud, on premises and air gapped environments.
Datafuse Technology Inc is the Delaware corporation behind SimplAI, an enterprise agentic AI platform that positions itself as an operating system for AI agents, covering the path from agent design to production on one stack. SimplAI pairs a no code agent builder and a visual workflow canvas with multi agent orchestration, planning and routing, short and long term memory, retrieval grounded knowledge, and a model layer that runs and routes across multiple LLMs.
Agents are published to REST APIs, outbound webhooks, embeddable widgets, MCP and A2A, with an agent card discovery endpoint and JSONRPC transport. Governance is unusually explicit for a company of this size: role and attribute based access control, environment isolation across development, staging and production, execution and decision level audit trails, runtime isolation, a secrets vault, and spend limits and usage policies enforced at agent runtime.
Testing runs in two layers, curated pre launch test datasets and continuous evaluation with custom scoring rubrics across thousands of production traces. Deployment spans SimplAI cloud, customer cloud, private cloud, VPC, on premises and air gapped environments, with enterprises retaining ownership of the underlying infrastructure. A prebuilt library covers insurance, banking, mortgage, supply chain, HR and marketing agents. The company is headquartered in San Francisco with offices in Dubai and Gurugram, and its registered address is 8 The Green, Ste B, Dover, DE 19901.
Vendor details
Canonical URL
https://simplai.ai
Category
Multi-agent platform
Subcategory
Enterprise agentic AI platform
Funding status
Seed, approximately 2.5M USD raised across one round reported February 2026; roughly 34 employees reported May 2026
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Prebuilt step library spanning 25 plus categories including HubSpot, Oracle, SAP, Slack, Jira, Gmail, Outlook, Snowflake, Databricks, MongoDB Atlas and Elastic, plus HTTP request nodes, reusable credentials, MCP server nodes and A2A nodes. Integration counts are stated inconsistently across first party pages as 50 plus steps, 100 plus connectors and 300 plus connectors.
In practice
A commercial insurer automates first notice of loss intake, where an agent initiates the claim, performs policy lookup and produces the FNOL report without an adjuster keying data manually.
A bank runs financial spreading and credit analysis as an agentic workflow, extracting figures from statements, validating them against policy and routing the packet onward for approval.
A regulated enterprise deploys the same agents inside an air gapped environment, keeping model calls, memory and audit trails within its own infrastructure boundary while retaining central governance.
Sources & related URLs
Related / legacy domains
Research sources
Agentic Index coverage score
12.5 / 14 capabilities · 89%
| Integrations & Tool Calling | Full |
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A prebuilt node library across 25 plus categories covers HubSpot, Oracle, SAP, Slack, Jira, Gmail, Outlook, Snowflake, Databricks, MongoDB Atlas and Elastic, with HTTP request nodes, reusable credentials, MCP server and A2A nodes, and an MCP Gateway exposing internal APIs as agent tools; the connector count is stated three ways (50 plus steps, 100 plus and 300 plus connectors). Sourcesimplai.ai/workflow-builderread 2026-09-27 |
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| Workflow Orchestration | Full |
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Agent orchestration coordinates multi agent, multi step execution with lifecycle control, supervision and recovery, planning and routing assign tasks across agents and tools by runtime state, and the visual canvas supports branching, foreach loops, merges, parallel paths and sub agents. Sourcesimplai.ai/workflow-builderread 2026-09-27 |
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| Knowledge Grounding & RAG | Full |
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Knowledge base is a named platform component with dynamic data ingestion that syncs enterprise sources, embeddings, OCR and document parsers, PDF and audio extraction, and a citations toggle set per agent. Sourcesimplai.airead 2026-09-27 |
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| Human Oversight & Guardrails | Partial |
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Guardrail validators on LLM nodes block unsafe output and enforce format, with per node retry, fallback and error branches, release preview and one click rollback, and runtime spend limits and usage policies; no human approval step inside a running workflow is documented. Sourcesimplai.ai/workflow-builderread 2026-09-27 |
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| Security, Identity & Governance | Full |
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The attestation is contradicted on the vendor's own surfaces: a company blog states SOC 2 Type II compliance and ISO 27001 certification and the footer shows badges, while the homepage says designed to support SOC 2 and ISO 27001 and the pricing page lists SOC 2 Type 2 and ISO as Enterprise compliance items. The controls themselves are documented: role and attribute based access control, Google and Microsoft SSO on every plan, runtime and environment isolation, a secrets vault, tool and action permissions and private VPC networking. Sourcesimplai.ai/blogs/simplai-is-now-soc-2-type-ii-compliantread 2026-09-27 |
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| Observability & Auditability | Full |
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Run history traces every run with latency, cost, tool call time, steps and token counts, run inspection shows inputs, outputs, tool calls, timestamps and the agent version, runs export in full for audits, and decision and execution level audit logs are documented; tracing is on the free plan. Sourcesimplai.ai/observabilityread 2026-09-27 |
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| Memory & State Persistence | Full |
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Short term working memory and long term memory persisting across sessions and workflows are an orchestration pillar with a dedicated Agentic Memory page and a per agent toggle, and retention and deletion policies are customer defined per agent or workflow. Sourcesimplai.ai/agentic-memoryread 2026-09-27 |
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| Deployment & Data Residency | Full |
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Deployment spans SimplAI cloud, customer cloud, private cloud, VPC, on premises and air gapped environments with the customer keeping ownership of the infrastructure; flexible deployment (customer cloud, on premises) and data isolation are Enterprise plan items. Sourcesimplai.ai/deploymentsread 2026-09-27 |
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| Prebuilt Agents, Templates & Packs | Full |
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A published Agent Library and 50 plus prebuilt apps on the free plan, with named industry agents such as first notice of loss intake, inland marine underwriting, denial management, provider fraud risk, credit analyst, loan processing, mortgage origination and debt collection across insurance, banking, HR, marketing and supply chain. Sourcesimplai.ai/agents-libraryread 2026-09-27 |
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| Triggers & Channel Coverage | Partial |
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Agents are invoked through the REST API, an embed widget, a public preview URL, MCP and A2A, with voice, email and Slack nodes; webhooks are outbound only (results pushed when a run completes), and no schedule, cron or inbound event trigger is documented. Sourcesimplai.ai/workflow-builderread 2026-09-27 |
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| Model Flexibility & Routing | Full |
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A model layer runs and routes agents across multiple LLMs, with LLM, vision, embedding and voice model nodes and the model selected per agent in the builder; bring your own models and fine tuning are Enterprise only per the pricing page. Sourcesimplai.airead 2026-09-27 |
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| APIs, SDKs & MCP Extensibility | Full |
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Agents publish to a REST API with chat and conversation endpoints and generated request samples, outbound webhooks, an embed widget and an SDK, and to MCP and A2A (v0.3.0 over JSONRPC 2.0) with bearer API key auth and an agent card at /.well-known/agent-card.json. Sourcesimplai.ai/workflow-builderread 2026-09-27 |
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| Testing, Debugging & Optimization | Full |
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Two evaluation layers, curated pre launch test datasets with AI generated test cases and evaluator criteria for accuracy, structure and completeness, and continuous evaluation scoring conversations with average, minimum and maximum across thousands of traces; custom evaluators cover tone, policy compliance and factual accuracy, beside step level tracing, version preview and rollback. Sourcesimplai.ai/workflow-builderread 2026-09-27 |
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| Browser & Computer Use | Partial |
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Browser is one of the agent capability toggles in the builder (memory, citations, voice, reflection, file uploads, browser), but no mechanism or fidelity for browser or computer use is documented. Sourcesimplai.ai/workflow-builderread 2026-09-27 |
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The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Pricing
$5/mo after 7 days free; Enterprise custom
credits, with a hard daily run cap and per tier limits on applications, users and dataset storage
Included quota
5,000 credits a month, 50 runs per day, up to 7 applications, one user, 100MB storage.
What is public
One published price on 27 Sep 2026: the Free plan at $5 a month after 7 days free, with 5,000 credits, 50 runs per day, up to 7 applications, single user access, 100MB storage, 50+ prebuilt apps, tracing, version control and Google and Microsoft SSO. Enterprise is quote only; a Scale-up tier is referenced without a price card. The Starter plan at $99 recorded in August is no longer shown.
Billing mechanics
Tiered subscription metered in credits with a hard daily run ceiling attached to each tier. Credits, runs per day, application count and storage all step up by tier and become custom at the enterprise level, where granular credit and rate limits are administered per organization.
Cost watchouts
The published $99 plan buys the builder rather than the governed platform. Flexible deployment to customer cloud and on premises, advanced compliance and data isolation, bring your own models, model fine tuning, observability, custom evaluations, role based access control, SSO and granular credit and rate limits are all listed as enterprise tier capabilities. Starter is also single user, so any team deployment moves to a quote.
Variable cost rationale
Credits are the primary meter and the paid entry plan also caps runs per day, so a workload that exceeds either ceiling changes the bill or stops the work, and no overage rate is published to price that. The enterprise tier is fully scoped with custom credits, custom runs per day and granular credit and rate limits, so cost is set entirely in negotiation.
Additional watchouts
Governance and deployment flexibility sit behind the enterprise tier, so the visible price does not represent the product an enterprise buyer would actually run. The free plan is a 7 day trial rather than a permanent tier. A referenced Scale up plan is missing from the published ladder. An independent review published in July 2026 stated that SimplAI has no publicly listed self serve plan and is custom enterprise pricing only, which the live pricing page contradicts.
Overage / add-ons
Not documented. The page states volume based pricing and pay for what you use, but publishes no credit overage rate and does not say what happens when the monthly credit pool or the daily run cap is exhausted.
Sales call required
Mixed (some tiers require a call)
Free / trial
Entry plan shown at $0 free for 7 days, with 5,000 credits and 50 runs per day
Lowest paid plan
Free plan at $5/mo after a 7 day free period (5,000 credits, 50 runs/day)
Commercial notes
Self serve registration and a public entry price mean the entry motion does not require a sales call. The enterprise motion is demo led with flexible deployment, the SOC 2 Type 2 and ISO compliance package, data isolation, bring your own models, fine tuning, custom contracts, BAA and DPA, RBAC and dedicated account management.
Key ambiguities
The plan labeled Free displays a struck through $5 figure next to $0 free for 7 days, so it reads as a time limited trial rather than a permanent free tier. Separately, the enterprise tier is described as everything in Scale up plus, but no Scale up plan appears on the page, so at least one tier is missing from the published ladder.
Missing data
No credit overage rate, no definition of what one credit buys, no model cost pass through detail, no seat or team pricing between Starter and enterprise, no published enterprise floor, and no annual commitment discount.
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Alternatives to SimplAI
The closest documented capability profiles to SimplAI among multi-agent platforms tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- CrewAI13.0 / 14Fuller documented coverage on Human Oversight & Guardrails and Triggers & Channel Coverage
- Databricks Agent Bricks13.0 / 14Fuller documented coverage on Human Oversight & Guardrails and Triggers & Channel Coverage
- Dataiku13.0 / 14Fuller documented coverage on Human Oversight & Guardrails and Triggers & Channel Coverage
- Relevance AI13.0 / 14Fuller documented coverage on Human Oversight & Guardrails and Triggers & Channel Coverage
- Akka12.5 / 14Fuller documented coverage on Human Oversight & Guardrails and Triggers & Channel Coverage
- Legion Intelligence11.5 / 14Fuller documented coverage on Human Oversight & Guardrails
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded