Build, deploy, orchestrate, monitor, and govern AI agents on your data — behind your firewall, with SOC 2 + ISO 27001 controls baked in. Multi-agent orchestration, tool calling, memory, evaluation, cost tracking, audit logs — built in.
A production AI agent is more than an LLM and a tool list. It's a governed system with orchestration, memory, evaluation, observability, and security. Here's what Clarista handles out of the box.
Plan-and-execute loops, multi-agent coordination, conditional branching, retries, timeouts. Built on a tested orchestration engine — you don't reinvent ReAct or LangGraph patterns.
50+ pre-built tools: SQL, REST APIs, Slack, Salesforce, Google Drive, S3, Snowflake, Jira, Confluence, custom MCP servers. Add your own in minutes with the SDK.
Short-term conversation memory, long-term vector memory, hybrid retrieval, automatic re-ranking. Bring your own vector store or use the managed one.
Agent-level evals, prompt regression tests, golden datasets, LLM-as-judge scoring. Run before every release — catch regressions before they hit production.
Trace every agent run end-to-end. See the plan, every tool call, every token, every retry. Replay any session. Click into any step.
Per-agent and per-tenant token budgets. Hard caps. Real-time cost dashboards. Automatic cheaper-model fallback. You see the bill before it surprises you.
SSO (Okta, Azure AD), RBAC, audit logs, PII detection, prompt injection guards, data-residency controls. SOC 2 Type II + ISO 27001 baseline.
One-click deploy to your AWS, Azure, GCP, or on-prem. Your data never leaves your perimeter. Air-gapped option available.
Anthropic, OpenAI, Azure OpenAI, AWS Bedrock, Google Vertex, on-prem Llama, custom fine-tunes. Routing across multiple models per agent.
The agent platform market has split into three camps: managed SaaS suites, open-source frameworks, and enterprise platforms. Quick comparison of what each does well.
| Platform | Best for | Hosted? | Enterprise governance |
|---|---|---|---|
| Clarista | Enterprise agents on your data | Your cloud | SOC 2 + ISO 27001 + RBAC + audit baked in |
| Microsoft Copilot Studio | Microsoft-shop standardization | Microsoft cloud | Strong inside the Microsoft graph |
| Salesforce Agentforce | CRM-native agents | Salesforce cloud | Strong inside Salesforce data |
| LangChain Platform / LangGraph | Developer-first teams | Hosted or self-host | You build governance yourself |
| CrewAI Enterprise | Multi-agent orchestration | Hosted | Mid — improving |
| AutoGen / Semantic Kernel | Open-source builders | You host | You build governance yourself |
| Vellum / Humanloop | Prompt-ops focus | Hosted | Limited — eval/observability focus |
| OpenAI Assistants / GPTs | Quick prototypes | OpenAI cloud | Limited — data goes to OpenAI |
The pattern: managed SaaS platforms (Copilot Studio, Agentforce) lock you to a vendor stack. Frameworks (LangChain, AutoGen) give flexibility but make you build the platform around them. Clarista sits in the middle — managed platform behavior, deployed in your cloud, on your data, with any LLM.
Triage tickets, draft replies, pull policy docs, escalate edge cases. Trained on your knowledge base, not the public internet.
Cross-source question-answering over Confluence, SharePoint, Slack, Notion, Google Drive. With citations.
Pre-call account briefings — pull CRM, news, LinkedIn, financials, prior calls. Generate a one-page brief.
Flag risky clauses, summarize obligations, compare against playbook. Audit trail of every decision.
Answer RFP questions from past wins, internal docs, and playbooks. Draft proposals 10x faster.
Natural-language queries against your warehouse. Generate SQL, run it, summarize, chart. With row-level security.
20-minute demo: bring a real agent use case. We'll wireframe how it ships on Clarista, on your data, with your governance.
Book a demo →Software that lets enterprises build, deploy, orchestrate, monitor, and govern AI agents — autonomous LLM-powered systems that plan, call tools, retrieve data, and take actions. Good platforms ship orchestration, memory, tool calling, evals, observability, cost tracking, and security so teams focus on agent logic, not infrastructure.
Frameworks are code libraries — you still build deployment, observability, governance, and security. A platform like Clarista wraps the framework with managed orchestration, hosted memory, SSO, audit logs, cost dashboards, eval harnesses, and compliance controls. Frameworks ship code; platforms ship production agents.
For enterprises with security + compliance + data-residency requirements: Clarista (governed, on your data, BYO LLM), Copilot Studio (Microsoft-shop), Agentforce (CRM-native). For developer-first teams without compliance constraints: LangChain Platform, CrewAI, Vellum. Choose based on data sensitivity and how much governance you need built-in.
Yes — Clarista runs in your AWS, Azure, GCP, or on-prem. Your data never leaves your perimeter. Bring your own LLM (Anthropic, OpenAI, Bedrock, Azure OpenAI, on-prem Llama, custom fine-tunes). Audit logs capture every prompt and tool call for compliance.
Typically $50K-$500K per year depending on agent count, traffic, and support tier. Open-source frameworks are free but add hidden costs for hosting, observability, security, and engineering time (often $200K-$500K equivalent for a real production deployment). See /pricing for Clarista bands.
Customer support copilots, internal knowledge agents, sales research, compliance review, contract review, RFP responses, code review, data analysis, multi-step workflows, and vertical agents for accounting, medical billing, recruiting, and more. Any agent that needs to plan, retrieve, call tools, and take actions on enterprise data.