Closing the loopbetweenagenticdevelopment& software engineering

AI is already running on your team.

Now govern it.

Trusted by
engineering teams

Alora FinanceAlphaflowCoplineESAFutVoltGeoforceGLS SolutionsNeural TrainerPragmatimPrimentoringPrismeaRollKall

We have poured 20 years of software consultancy expertise into a platform for AI-native teams — and the teams working toward it.

Dap is that platform: an AgentOps layer that governs AI across your SDLC, and the infrastructure that operationalizes context engineering, without requiring your team to do it manually, session by session. This is how we deploy our engineers forward into the teams we partner with.

31.6%unattended sessions
4.7×cheaper than Claude API — per million tokens
3.3×faster delivery — auto-merge vs. human-gated

01AgentOps

Govern your AI. Don't let it govern you.

The AgentOps layer sits above all of it: isolated workspaces, opinionated per-repository policies, a common toolset, a full audit trail — owned by your infrastructure, not your vendor. Govern how agents run, what they touch, and what gets shipped.

Dap gives you the observability and control layer that agents don't come with out of the box: every session logged, every decision traceable, every agent acting within the rules you set. The provider changes when you're ready. The rules never do.

02Trust

Attended or unattended. Trustworthy agents across your SDLC.

An engineer opens a session — Dap provides the context, the toolset, and the agent, and the work begins. Or a bug report alert comes in, a CVE feed fires, a scheduled job triggers — and agents are already reasoning, coding, testing, and opening a PR, no human required.

Either way, every PR runs through an AI review jury that produces a confidence score before it's eligible to merge. What auto-merges and what waits for a human is determined by that score. The cycle completes — and with every merge, the trust compounds.

03Cognitive Load

Every session, smarter than the last.

No agent should arrive empty-handed. Dap connects your team's existing knowledge — Jira tickets, GitHub history, internal docs, CI logs, Slack threads — into a unified context layer that every session draws from before it starts. Conventions, architectural decisions, past dead ends: all available, automatically.

Every failed session sharpens the next. Every shipped PR feeds the system. The platform learns your codebase the way your team does — without forgetting a thing. The value compounds across every session, every repository, every engineer.

04A2A Harness

Native A2A multi-agent harness.

We built Dap's harness ourselves — for performance, for cost control, and because the AI industry is shifting fast enough that no engineering team should be fully exposed to any one model provider's decisions. Dap lets you configure a squad of agents, each with a distinct role and its own model — orchestrated by the harness.

Because Dap implements the A2A protocol natively, the interoperability goes both ways: your agents can reach any external A2A agent, and external agents can interact with yours. The harness coordinates the squad. The protocol opens the door to everything else.

See what these mean in practice.

The platform doesn't deploy itself.

How we work

Crunchloop is a platform-enabled service. Dap is the infrastructure we built — and we're the engineers who deploy it inside your team.

Our engineers work forward deployed: embedded in your codebase, running agents, orchestrating sessions, making the architectural decisions that determine whether AI compounds or stalls. The governance layer in Dap, the agent guards, the context architecture — years of running agents on real production systems went into building them. We didn't design these constraints in the abstract. We hit the edges ourselves.

You can engage us to deploy Dap and enable your team to operate it independently. Or keep our engineers in the loop — steering AI as your systems evolve. Most teams want both.

What teams say

GLS
“We’ve increased our velocity by 300% with Crunchloop’s assistance.”
Gabriel RinaldiCTO, GLS
Elite Skills Arena
“Their reliability and skills were impressive. The team worked efficiently without compromising quality.”
James LangdonCustomer Relationship & Production, Elite Skills Arena
RollKall
“It’s impressive how quickly they get up to speed with our needs and technology.”
Stan ProkarymVP of Engineering, RollKall
Prismea
“Thanks to Crunchloop’s efforts, the app met testing requirements and received positive feedback from end clients and prospects.”
Mark PrestonCEO, Prismea