Lemma, the AI
DevOps team

You write the code. The agents ship it, watch it, and run it. All of it in one channel.

4 agents live1 message → live HTTPS100% cap = compute frozen
Lemma
Approvals
Activity
Tickets
Cost
Channels
# demo-app
# general
Agents
deployops
ships releases end to end
observesre
watches health, files tickets
costfinops
guards spend, enforces caps
dataanalytics
read-only answers from your data
Onboarding 2027
securesecurity
audits every release
scalecapacity
capacity planning
# demo-app4 agents onlineMTD $14.20 · cap $50 · 28%
Message # demo-app
Kanban · demo-app
TO DO
TCK-44rotate access keys
DOING
DONE
TCK-41p95 latency regression
TCK-42tighten health checks
The agents

Meet the team

Four agents are live today; two more join in 2027. Together they run the whole lifecycle, and come to you for exactly one thing: money.

d
deployLIVE

Ships releases end to end

  • Ships from GitHub or a ZIP; push to main deploys
  • Provisions isolated cloud accounts
  • Detects app secrets and waits until they're set, masked and write-only
  • Posts live URLs with full checklists
o
observeLIVE

Watches production, around the clock

  • Health checks on a cadence
  • Reads logs when something looks wrong
  • Files tickets with evidence
  • Confirms recovery, closes the loop
c
costLIVE

Guards every dollar

  • Daily spend snapshots
  • Closed-loop rightsizing
  • Freezes new compute at 100% of cap
  • Flags you only when money moves, up or down
s
secure2027

Audits every release

  • Dependency & CVE watch
  • Release-time security review
  • Leaked-credential scans in code
  • Compliance evidence, continuously
da
dataLIVE

Owns your data

  • Managed Postgres + DynamoDB, per project
  • Read-only queries: ask your data in plain language
  • Least-privilege, per-project isolation
  • Backups with tested restores
sc
scale2027

Plans capacity ahead of demand

  • Load tests before launches
  • Autoscaling policies
  • Cost-aware scaling, with cost
  • Multi-region placement
OPERATING PRINCIPLEHumans decide when money moves — nothing else. Spend climbing toward a cap, or a chance to cut it: the agents bring those decisions to you. Everything else they handle, end to end.
Signals in, actions out

Other tools tell you what broke. Lemma fixes it.

The signals come from infrastructure Lemma provisioned itself, not a shelf of integrations. The actions land on that same infrastructure. You are the only other input, and you can talk to it from Slack. Only one thing stops at the gate.

Signals inActions outLEMMAPerceivehealth, logs, spendObserveCostDataDeciderisk tierActdeploy, roll back, resizeDeployevery action becomes a signalECS + ALB healthCloudWatch logsDeploy record (repo@sha)GitHub pushCost Explorer spendBudget threshold@lemma in SlackDeploy to live HTTPSRoll backRightsizeProvision a databaseFreeze new computeReply in SlackAsk you to approve
  • Signal in
  • Action out
  • You, in chat
  • Waits for you
Signals in
ECS + ALB health
CloudWatch logs
Deploy record (repo@sha)
GitHub push
Cost Explorer spend
Budget threshold
@lemma in Slack
Perceivehealth, logs, spendObserveCostData
Deciderisk tier
Actdeploy, roll back, resizeDeploy
every action becomes a signal
Actions out
Deploy to live HTTPS
Roll back
Rightsize
Provision a database
Freeze new compute
Reply in Slack
Ask you to approve
GATEMoney moves. Everything else runs unattended. This is the only place Lemma asks you for anything, and it is the last item on the right.
Slack

Ship, watch, and approve from Slack

Mention @lemma in any channel and an agent picks up the work, runs it, and reports back in the thread. When something moves money the approval arrives as a button in that same thread, so the one decision Lemma needs from you happens where you already are.

hardy#engineering
In the channel you already have openNo new tab, and no second inbox to check.
Bound to one person, onceLinking a chat account goes through a confirmation screen that names the account being bound. From then on the agent acts with exactly that person's permissions in Lemma, and nothing beyond them.
Off until an owner turns it onPer workspace, and revocable from settings at any time.

Nothing happens off the record

Agents file tickets as they work, every action traces back to the message that caused it, and anything that moves money stops for a person. The roster above says who does the work; this is how you check it.

Work you can audit

  • Agents file and move tickets as they work
  • One Kanban board per workspace
  • Every action traceable to a message
TO DO
DOING
DONE

Risky actions wait for a yes

  • Every tool call is risk-tiered
  • Dangerous steps pause for owner approval
  • Overrides are explicit and logged
Scale service to 2 tasks? (+$8.40/mo)
ApproveReject
HOW IT WORKS

It runs while you build

Built to run without you. The agents surface one kind of decision: money moving up or down. Everything else is handled.

A deploy, end to end

Risky actions wait for you

cost · agent
Scale service to 2 tasks? (+$8.40/mo)
ApproveReject
✓ Approved by owner · logged

The cap is enforced

80% of capwarning posted
100% of capnew compute frozen
owner override24h · explicit
Thesis

Infrastructure is a solved problem. Solving it again at every company isn't.

In mathematics, a lemma is the result you prove once so everything after it comes free. Every startup still re-proves the same one (deploys, TLS, monitoring, cost control) before a single customer sees the product. Lemma turns that proof into a team of AI agents you hire on day one.

01

Agents you talk to

Cloud tooling hands you knobs. Lemma hands you colleagues who use the knobs and report back in plain language.

02

Limits that hold

Budgets that freeze compute at 100%. Risky actions that wait for a yes. Every limit here is mechanical.

03

One interface

Deploys, incidents, costs, approvals: all in the channel, all in plain language. If it's not in the conversation, it didn't happen.

Roadmap

Built, building, next

LIVE TODAY

2026

Shipped and running on real cloud accounts.

  • GitHub push-to-deploy: push to main, live on HTTPS
  • ZIP → live HTTPS URL in one message
  • Python (FastAPI, Django, Flask), Node, static frontends, Java, Go, Rust, or any Dockerfile
  • App secrets detected from .env.example, then set once, masked and write-only
  • Isolated cloud account per customer
  • Managed Postgres + DynamoDB, with a read-only Data agent
  • Health watch → tickets → Kanban
  • Enforced spend caps + owner override
  • Custom domains, multi-project routing
  • Self-healing: a broken deploy rolls itself back, no human in the path
  • Self-serve signup
NEXT

2027

The platform opens up.

  • Microsoft Teams and Google Chat, the same @lemma in either
  • Autoscaling, preview & staging envs
  • New agents: secure · scale
  • Team invites & roles
  • US & EU regions
HORIZON

2028

The whole lifecycle, agent-run.

  • Multi-cloud: the same agents on GCP and Azure
  • SLOs enforced the way spend caps are
  • Continuous compliance evidence
  • Cost-optimal placement across regions
  • An agent team for every production system
Design partners

Build the platform alongside us.

Lemma is being built for founders shipping real products today. We're partnering with a small number of teams and shaping the agents around how they actually ship.

01

Solo founders

You are the whole engineering team. Lemma is your ops hire: deploys, monitoring, and cost control from day one.

02

Seed-stage startups

Ship features while the agent team runs production. Spend caps keep the burn honest while you find the fit.

03

Agencies & studios

Every client app on one proven platform: isolated accounts, per-project domains, one board for all of it.

Become a design partner

Tell us about what you're shipping. We onboard a few teams at a time.

LEMMA Nav: [Demo](/#demo) [Agents](/#team) [Product](/#agents) [Thesis](/#thesis) [Roadmap](/#roadmap) [Partners](/#partners) [Security](/security) [GET ACCESS](/#partners) Lemma 1. # Lemma, the AI DevOps team ## You write the code. The agents ship it, watch it, and run it. All of it in one channel. 4 agents live · 1 message → live HTTPS · 100% cap = compute frozen Live demo transcript (# demo-app · 4 agents online · MTD $14.20 · cap $50 · 28%): akshay (founder): ship v13 of api to prod deploy (agent): On it. Building hardy/api @ 3f2a1c9 from main. ✓ isolated account ready ✓ image built · 38s ✓ service updated ✓ certificates valid ✓ health check passing live at https://demo.lemma.it.com observe (agent): Heads up: the new rollout is unhealthy. Tasks OOMKilled at the 512Mi cap, p95 9.8s, 502s from the ALB. Filed TCK-43 and handing a fix to Deploy. deploy (agent): Root cause: api is under-provisioned. I'd resize the task 512Mi → 1Gi and redeploy. That changes spend, so it's your call. approval (resize): this moves money, so it's your call why: OOMKilled at 512Mi under normal load. 1Gi clears the ceiling and restores p95. blast radius: One service (api). Rolling redeploy, zero downtime. About +$6/mo. reversibility: Fully reversible. Resize back to 512Mi anytime. akshay (founder): Approve deploy (agent): Approved. Resized to 1Gi and redeployed. Health check green, p95 back to 140ms. TCK-43 resolved. cost (agent): Task size 512Mi → 1Gi, about +$6/mo. MTD $20.10 of $50 cap (40%). Cap still armed. system: secure (onboarding 2027) will audit this release automatically # Meet the team deploy (LIVE) — ships releases end to end: ships from github or a zip; push to main deploys, provisions isolated cloud accounts, detects app secrets and waits until they're set, masked and write-only, posts live urls with full checklists observe (LIVE) — watches production, around the clock: health checks on a cadence, reads logs when something looks wrong, files tickets with evidence, confirms recovery, closes the loop cost (LIVE) — guards every dollar: daily spend snapshots, closed-loop rightsizing, freezes new compute at 100% of cap, flags you only when money moves, up or down secure (2027) — audits every release: dependency & cve watch, release-time security review, leaked-credential scans in code, compliance evidence, continuously data (LIVE) — owns your data: managed postgres + dynamodb, per project, read-only queries: ask your data in plain language, least-privilege, per-project isolation, backups with tested restores scale (2027) — plans capacity ahead of demand: load tests before launches, autoscaling policies, cost-aware scaling, with cost, multi-region placement OPERATING_PRINCIPLE: humans decide when money moves — nothing else. # Other tools tell you what broke. Lemma fixes it. signals in: ecs + alb health · cloudwatch logs · deploy record (repo@sha) · github push · cost explorer spend · budget threshold · @lemma in slack pipeline: perceive (observe, cost, data) → decide (risk tier) → act (deploy) actions out: deploy to live https · roll back · rightsize · provision a database · freeze new compute · reply in slack · ask you to approve feedback: act → perceive — every action becomes a signal HUMAN_TOUCH: ask you to approve — money moves. # Ship, watch, and approve from Slack channel: hardy #engineering akshay (09:41): @lemma ship v13 of api to prod lemma (APP 09:41): On it. Building hardy/api @ 3f2a1c9 from main. ✓ image built · 38s ✓ service updated ✓ certificates valid ✓ health check passing live at https://demo.lemma.it.com lemma (APP 09:52): api is getting OOMKilled at 512Mi under normal load. I'd resize the task to 1Gi and redeploy. That changes spend, so it's your call. approval (resize · api): 512Mi to 1Gi · about +$6/mo · fully reversible approved by akshay · logged lemma (APP 09:53): Resized to 1Gi and redeployed. Health check green, p95 back to 140ms. - in the channel you already have open: No new tab, and no second inbox to check. - bound to one person, once: Linking a chat account goes through a confirmation screen that names the account being bound. From then on the agent acts with exactly that person's permissions in Lemma, and nothing beyond them. - off until an owner turns it on: Per workspace, and revocable from settings at any time. # Nothing happens off the record ## Work you can audit — agents file and move tickets as they work; one kanban board per workspace; every action traceable to a message ## Risky actions wait for a yes — every tool call is risk-tiered; dangerous steps pause for owner approval; overrides are explicit and logged # It runs while you build > git push origin main ✓ source fetched @ 3f2a1c9 ✓ build 42s ✓ certificates issued live at https://demo.lemma.it.com # Thesis Infrastructure is a solved problem. Solving it again at every company isn't. 01 Agents you talk to 02 Limits that hold 03 One interface # Roadmap 2026 (live today): github push-to-deploy: push to main, live on https · zip → live https url in one message · python (fastapi, django, flask), node, static frontends, java, go, rust, or any dockerfile · app secrets detected from .env.example, then set once, masked and write-only · isolated cloud account per customer · managed postgres + dynamodb, with a read-only data agent · health watch → tickets → kanban · enforced spend caps + owner override · custom domains, multi-project routing · self-healing: a broken deploy rolls itself back, no human in the path · self-serve signup 2027 (next): microsoft teams and google chat, the same @lemma in either · autoscaling, preview & staging envs · new agents: secure · scale · team invites & roles · us & eu regions 2028 (horizon): multi-cloud: the same agents on gcp and azure · slos enforced the way spend caps are · continuous compliance evidence · cost-optimal placement across regions · an agent team for every production system # Build the platform alongside us design partners: solo founders · seed-stage startups · agencies & studios apply: POST /partner-applications { email, name_role?, company?, ship_first? } [BECOME A DESIGN PARTNER](/#partners) Q.E.D. © 2026 Lemma — private beta, onboarding design partners · this page is also served at /llms.txt · toggle HUMAN below for the human interface
HUMANMACHINE