Connect each system once
APIs, databases, MCP servers, and document stores, each with scoped credentials. An agent uses a connection with the permissions of whoever ran it.
Connect
✓NetSuite connected
✓Salesforce connected
✓Slack connected
Every team builds their own agents, under one shared database and control system.
Finance builds its own agents.
- New batchNetSuite trigger
- Invoice Matching AgentUses NetSuite and Bank feed
- Within 2%?Decision
- Auto-reconcileWrite ·NetSuite
- Flag for APNotify ·Slack
Dynamo integrates with NetSuite
Connect, design, test, and run agents all in one place.
01
Connect
Connect each system once. APIs, databases, MCP servers, and document stores, each with scoped credentials. An agent uses a connection with the permissions of whoever ran it.02
Design
Describe the process, get an agent. The people who run the process write it in plain English. Where a step has to be exact, it is.03
Test
Test it on last month's cases. Regression suites and model benchmarks run on each change. If it passed last week, it still passes today.04
Run
Promote it, watch it, spread it. Dev, staging, production, with a check at each gate. Cost and accuracy per run stay on screen, from the first team to the whole company.Connect
✓NetSuite connected
✓Salesforce connected
✓Slack connected
Design · Agent · v15
"Match each invoice to its PO and the bank line. If the amounts differ by more than 2%, don't guess. Flag it and tell me why."
Test · Regression suite
✓Matching accuracy 94.1% · pass
✓Over-flag rate 2.3% · pass
Run · Production
Runs this month 3,104
⚑Cost $1,212.40 · 6.1% flagged
Connect, design, test, and run agents all in one place.
Describe the process, get an agent
The people who run the process write it in plain English. Where a step has to be exact, it is.
Design · Agent · v15
"Match each invoice to its PO and the bank line. If the amounts differ by more than 2%, don't guess. Flag it and tell me why."
Test it on last month's cases
Regression suites and model benchmarks run on each change. If it passed last week, it still passes today.
Test · Regression suite
✓Matching accuracy 94.1% · pass
✓Over-flag rate 2.3% · pass
Promote it, watch it, spread it
Dev, staging, production, with a check at each gate. Cost and accuracy per run stay on screen, from the first team to the whole company.
Run · Production
Runs this month 3,104
⚑Cost $1,212.40 · 6.1% flagged
Build your enterprise AI system alongside experts.
Engineers who have taken enterprise AI into production before build it with you, and stay until it runs.
95%
of enterprise AI initiatives stall before production.
You
- Know the process and who owns it.
- Set the policy and who approves what.
- Decide what a good result looks like.
Dynamo
- ✓Scopes the first agent with your product, security, and engineering leads.
- ✓Builds it beside your team and gets it live.
- ✓Stays after launch to measure it, tune it, and keep it current as models change.
Frontier research
Frontier research for enterprise workloads
We research and benchmark top AI models on real enterprise problems. Use the best, most cost effective model for each project, with evidence.
A platform built for security.
Sandboxed.
By default.
An agent gets the permissions of the person who started it, and nothing more. Credentials are scoped. Calls are rate limited.
Credential scoping›Rate limiting›Permission inheritance›
Versioned,
promoted, audited.
A change is a diff a reviewer can read. Nothing reaches production without passing a check at each gate.
Change review›Staged promotion›Audit trail›
Every dollar
attributed.
Spend by agent, by run, and by team, next to the work it paid for.
Cost by agent›Cost by team›Budget alerts›
Runs where
your data lives.
AWS, Azure, GCP, Kubernetes, or your own servers. Traces go to the observability stack you already run, over OpenTelemetry.
Cloud or on-prem›Kubernetes native›OpenTelemetry traces›
Switch models
when the evidence says so.
Each task runs on the model our benchmarks rank best for it. When a cheaper one catches up, you move over without rebuilding the agent.
Continuous benchmarking›Automatic routing›Swap without rework›
Sandboxed. By default.
An agent gets the permissions of the person who started it, and nothing more. Credentials are scoped. Calls are rate limited.
Credential scopingRate limitingPermission inheritance
Versioned, promoted, audited.
A change is a diff a reviewer can read. Nothing reaches production without passing a check at each gate.
Change reviewStaged promotionAudit trail
Every dollar attributed.
Spend by agent, by run, and by team, next to the work it paid for.
Cost by agentCost by teamBudget alerts
Runs where your data lives.
AWS, Azure, GCP, Kubernetes, or your own servers. Traces go to the observability stack you already run, over OpenTelemetry.
Cloud or on-premKubernetes nativeOpenTelemetry traces
Switch models when the evidence says so.
Each task runs on the model our benchmarks rank best for it. When a cheaper one catches up, you move over without rebuilding the agent.
Continuous benchmarkingAutomatic routingSwap without rework
Build, share, and reuse agents across your entire company.
Composable by design
Simple agents combine into workflows. Workflows combine into systems.
A clause extractor built for contract review gets reused in vendor onboarding, with little manual rewrite
Agents without Dynamo stay stale. Agents with Dynamo build on each other, getting faster every time
Agents
→Extract clauses
Compare to standard
Score risk
Draft summary
Workflow
→Contract review4 agents, human approval on score > 7
Vendor onboardingReuses Extract and Score
System
Procure to pay2 workflows, 4 agents, one audit trail
Agents · 4
Extract clausesCompare to standardScore riskDraft summary
Workflow · 2
Contract review4 agents, human approval on score > 7
Vendor onboardingReuses Extract and Score
System · 1
Procure to pay2 workflows, 4 agents, one audit trail
Use it for your team, or white‑label it for your product.
Give each department its own agents
Move manual processes onto agents, with one security review covering all of them.
Explore internal automationShip AI features without waiting on engineering
Product managers and analysts design, test, and launch AI features. Engineers own the integrations.
Explore product-led AIPut agents inside your own product
The fastest way to give your customers agents under your brand. Dynamo runs underneath, with each tenant kept apart.
Explore embeddedWorks with the systems you already run
Connect each system once, with scoped credentials. Every agent after that inherits the same reviewed connections.