Perimattic

Comparison · LangSmith

Perimattic AI Suite vs LangSmith

LangSmith is LangChain’s observability and evaluation platform, and it works with or without LangChain. Here is a fair comparison on verified facts, and where Perimattic AI Suite takes a different approach for regulated AI.

Last reviewed by the Perimattic AI Suite team

In short

How is Perimattic AI Suite different from LangSmith?

LangSmith does not require LangChain: it accepts OpenTelemetry traces from any application, with its deepest integration for LangChain and LangGraph. It is strong on evaluation, datasets and prompt iteration. Perimattic AI Suite focuses on regulated production systems, turning traces and evaluation scores into evidence mapped to HIPAA, SOC 2, the EU AI Act and DORA. If you build on LangChain and need fast iteration, LangSmith fits well.

  • No framework lock-in on either side

    Both accept OpenTelemetry. LangChain apps can emit OTel spans, so you can export the same traces to LangSmith, Perimattic AI Suite or both.

  • Where they differ

    LangSmith is built around the development loop: tracing, evaluation datasets, experiments and prompt changes. Perimattic AI Suite is built around production oversight and the records a regulator or auditor asks for.

Two developers working at desks with laptops and external monitors

Comparison

LangSmith and Perimattic AI Suite side by side

LangSmith cells come from LangChain’s own pricing page and documentation. Perimattic AI Suite details that are agreed per customer during early access are marked that way.

Comparison of LangSmith and Perimattic AI Suite
DimensionLangSmithPerimattic AI Suite
Framework supportAny framework through OpenTelemetry; automatic tracing for LangChain and LangGraphAny framework or provider that emits OpenTelemetry GenAI spans
DeploymentManaged cloud; self-hosted and hybrid on the Enterprise planHosting model and region agreed with each team during early access
Vendor securitySOC 2 Type II; HIPAA and GDPR stated by LangChainReviewed with your security team before any production data is sent
EvaluationDatasets, experiments, LLM-as-judge and human annotationFaithfulness, hallucination and RAG metrics scored on live traffic
Prompt workflowPrompt playground and versioningNot a focus. Keep your existing prompt tooling.
Regulation mappingGeneral-purpose traces and evaluations; mapping them to a regulation is up to your teamEvidence records mapped to HIPAA, SOC 2, EU AI Act and DORA obligations
Trace retentionBase traces 14 days; extended traces 180 daysRetention set per project during onboarding
PricingPublished: Developer free (5k base traces), Plus $39 per seat per month (10k base traces), then pay as you goNot published yet; discussed with each early-access team
Best forTeams building on LangChain or LangGraph who want tight development and evaluation loopsRegulated teams that need production telemetry turned into audit evidence

LangSmith details last verified on 1 October 2026 from LangChain’s own pages. Check the source before you decide, because plans and limits change.

Which one fits your team

  • Choose LangSmith if your agents are built on LangChain or LangGraph and your priority is fast iteration on prompts, datasets and experiments.
  • Choose Perimattic AI Suite if you answer to HIPAA, SOC 2, the EU AI Act or DORA and need records an auditor will accept, drawn from production traffic.
  • Many teams use a development tool and a production oversight tool side by side. OpenTelemetry makes that practical.

LangSmith alternatives

Other LangSmith alternatives teams shortlist

If you are weighing LangSmith against other tools, these are the options that come up most, with the case for each. For a direct comparison of the two most common choices, read LangSmith vs Langfuse.

  • Langfuse

    Open-source (MIT core) LLM observability you can self-host for free, with prompt management, datasets and evaluations. Langfuse Cloud is audited for SOC 2 Type II and ISO 27001.

  • Datadog Agent Observability

    Datadog’s LLM and agent monitoring, previously called LLM Observability. Best when your infrastructure monitoring already runs on Datadog.

  • Perimattic AI Suite

    For regulated teams that need production traces, quality scores and access records organised as compliance evidence.

FAQ

Common questions

Short answers to the questions teams ask when they compare these tools.

Does LangSmith require LangChain?

No. LangChain’s documentation says non-LangChain applications can be traced in LangSmith with a standard OpenTelemetry client. LangChain and LangGraph apps get automatic tracing, which is where the integration is deepest.

Can I self-host LangSmith?

Self-hosted and hybrid deployments are offered on LangSmith’s Enterprise plan. The Developer and Plus plans are cloud-hosted.

What does Perimattic AI Suite offer that LangSmith does not focus on?

Regulation-mapped evidence. Perimattic AI Suite organises traces, evaluation scores and access records against the obligations in HIPAA, SOC 2, the EU AI Act and DORA, so compliance teams can answer audit requests from production telemetry. It supports your compliance programme; it does not certify compliance.

Can I use Perimattic AI Suite with a LangChain app?

Yes. Configure your LangChain app to emit OpenTelemetry spans and point the OTLP exporter at Perimattic AI Suite, at LangSmith, or at both through an OpenTelemetry Collector. Your application code does not need to change.

How much does LangSmith cost compared with Perimattic AI Suite?

LangSmith’s Developer plan is free for one seat with 5,000 base traces a month. Plus costs $39 per seat per month with 10,000 base traces included, and usage above that is billed per trace. Enterprise is custom. Perimattic AI Suite pricing is discussed with each early-access team. Use the LLM observability cost calculator to model your own volumes.