Backed by the integration standards you expect, ship agents you can trust for mission-critical workflows.
Put agents to work where automation wasn’t practical: with unstructured data, dynamic decisions, and fast-evolving context.
Encode the playbooks, judgment calls, and tribal knowledge your best people carry, so their expertise scales even when their bandwidth can't.
Get agents to market fast, built on your proprietary data and systems. While others settle for off-the-shelf agents, set a new bar.
Put agents in front of legacy systems to interpret, enrich, and route data. Create more value from critical systems.
For every run, see what decisions an agent made, which tools it called, and in what sequence.
Get early signal if accuracy begins to degrade. Get to root cause whether model, data, or prompt fast.
Use pre-built connectors to send data to ticketing systems like JIRA or APM tools like DataDog.
LLM flexibility without the overhead of learning how each one works. Switch models freely, avoid lock-in, and keep pace as the landscape evolves.
Equip agents to work with governed, well described MCP tools that act across systems and applications.
Bundle complexity into playbooks so agents have fewer steps to perform — which also improves accuracy and lowers tokens.
Define structured outputs that meet downstream systems on their terms: fixed schemas, exact formats, and sequencing.
Run offline and online evals to prove production readiness. Post-launch, catch regressions and iterate in a tight feedback loop.
Take gut instinct out of optimization. Experiment with prompts and prove which models offer an edge for the use case at hand.
Scrub PII before it reaches any model. What the agent can’t see, it can’t leak.
Bring your own API keys and model endpoints. Your data stays within your infrastructure, always.
Define acceptable inputs and flag harmful outputs to protect agents from going outside of their scope.
Defend against prompt injection, tool poisoning, and context manipulation at runtime.

Digibee is SOC 2 Type II certified and adheres to the Zero Trust framework, continuously validating access requests. 24/7 monitoring, infrastructure isolation, and other rigorous measures.

Onboarding, 24/7 rapid response support, self-paced learning and customer success come with your subscription. Digibee's expert services team is available to extend your team. Invest in success, not just software.

Digibee's ephemeral architecture isolates executions to maximize uptime. It also powers elasticity—instantly surging to handle spikes and scaling to zero during lulls.
Digibee combines agent building with enterprise integration infrastructure. Your agents inherit the same security, governance, and connectivity already in place for your integrations — no separate stack to manage.
Yes. Any workflow or integration built in Digibee can be exposed as a governed MCP tool for agents to use. This means agents can act across your entire system landscape from day one.
Digibee scrubs PII before data reaches any model, enforced at the pipeline level. You can also bring your own API keys and model endpoints so data never leaves your infrastructure.
Digibee provides built-in offline and online evaluations, full agent traceability for every run, and continuous monitoring that alerts you if accuracy degrades — with root cause analysis for model, data, or prompt issues.
Yes. Digibee provides a single interface for any LLM. Switch models freely, avoid lock-in, and keep pace as the AI landscape evolves — without rewriting your agent logic.