StarkSphereLabs

AI infrastructure for the teams building the next agent stack.

Two infrastructure layers every serious agent team ends up rewriting from scratch: observability (Peekr) and memory(Extremis). MIT-licensed libraries underneath, drop-in hosted services on top. Built for Series A–C teams shipping AI in production.

✓ MIT-licensed open source · self-host any time✓ Hosted tier in early access✓ SOC 2 Type 1 in progress

No lock-in by design

Take what we build with you.

Every managed service is an MIT-licensed library underneath. If we ever stop shipping — or you decide to bring everything in-house — your code keeps running on the exact same engine. No version skew, no migration, no leverage we hold over you.

Knowledge base engine · MIT

Extremis

Python library + FastAPI server + TS SDK. The engine Extremis Cloud is built on. SQLite by default, Postgres + pgvector for scale.

  • Python + TS SDK
  • MCP server (9 tools)
  • Self-hostable

Observability SDK · MIT

Peekr

Python + TypeScript SDKs that auto-instrument OpenAI, Anthropic, Gemini, and Bedrock at the class level. Zero-config local mode; HTTPExporter for Peekr Cloud.

  • Py + TS parity
  • Zero-config local mode
  • HTTPExporter for Cloud

Design partnership

Need our team to ship it with yours?

For a small number of customers each quarter, we run a paid design partnership — our engineers and yours co-build the integration end-to-end, ending with the product live in your stack and a shared technical write-up.

Shape

Outcome-priced, not hourly

Fixed scope, fixed fee. Typical engagement is 3–6 weeks ending with the integration deployed, the eval harness wired, and a runbook your team owns.

Investment

From $15k + bundled subscription

Engagement fee covers the build. A 12-month subscription to whichever Cloud product we deploy is bundled in. No ongoing services retainer.

Capacity

One partner at a time

We run one design partnership at a time so the product work doesn't suffer. If we're booked, we'll tell you the next opening and the self-serve path until then.

Most teams don't need this. Both products are MIT-licensed and the hosted tier ships with docs and a quickstart. Design partnership is for teams who want a co-build with our engineering — usually because the integration touches a sensitive workload or the timeline is tight. Email usand we'll let you know if we have a slot.

What our products are built for

Four shapes of AI product. Our stack underneath each one.

Customer support

An agent that actually remembers your customers.

Visitors return weeks later and the agent picks up where it left off — plan, last ticket, features tried. Refund policies stay accurate because they live as structured memories, not in a stale prompt.

Extremis CloudDrop-in Friday
Internal copilot

A copilot for your team's playbooks.

Procedural memories capture how your team runs incidents, hires, ships. New engineers ask the copilot instead of pinging seniors. Wrong answers get flagged at write time, not in production.

Extremis CloudPeekr Cloud
Docs assistant

RAG that cites the source line.

Every recall returns doc + chunk + byte-span. Your support bot stops hallucinating because the retrieval layer refuses to surface ungrounded answers — and the dashboard shows you the ones it caught.

Extremis CloudPeekr CloudDrop-in Friday
Dev tooling

An agent that learns your codebase.

Episodic memories track every PR review and bug fix. Semantic memories distil into 'how this team does X.' Cursor-style copilot, but it adapts to your team's conventions instead of guessing.

Extremis CloudPeekr Cloud

How we build

Four principles. They show up in every product.

01

Open source first.

Every Cloud product is an MIT-licensed library underneath. Read the source, run it on a laptop, self-host in your VPC. The hosted tier is a convenience, not a moat.

02

Memory is infrastructure.

Stateless RAG bots are demos. Real products need layered memory with verification, citations, and a feedback loop. We treat it as platform, not as a feature.

03

Observability before scale.

Agent stacks don't fail at low traffic — they fail when nobody can see why an answer changed last Tuesday. We ship the traces before we ship the optimisation.

04

Enterprise readiness on a public timeline.

SOC 2 Type 1 in flight, self-hosted edition documented today, SSO + audit logs landing through Q3. We tell you exactly what's ready and what isn't — no roadmap theatre.

Who builds this

Built by engineers who kept rebuilding the same infrastructure on every AI project.

StarkSphereLabs builds Peekr and Extremis after watching the same two problems — observability and memory — get rebuilt from scratch on every production AI project. The OSS libraries came first; the hosted tiers exist for teams that want the same engine without the ops overhead.

AI infrastructureLLM observabilityAgent memoryUAE-based

FAQ

The questions we get asked.

What does StarkSphereLabs build?

AI infrastructure for engineering teams shipping agents. Two live products: Extremis Cloud (managed memory + RAG with citation enforcement) and Peekr Cloud (LLM and agent observability). Both are MIT-licensed underneath — run the OSS yourself, or use the hosted tier. Drop-in Friday (the website agent) is in build and lands next.

Who are the products built for?

Series A–C engineering teams shipping AI in production. Typical buyer is a CTO, VP Engineering, or ML platform lead at a 20–200 person company. If you're at pre-seed or true F500, we're probably not the right fit yet — talk to us anyway, but we'll be upfront about it.

Open source or managed?

Both. Extremis and Peekr are MIT-licensed — run them on a laptop, in your VPC, anywhere. Extremis Cloud and Peekr Cloud are the same engines, fully managed. Identical APIs, no version skew, no lock-in. Switch direction any time without rewriting.

Are you enterprise-ready? SOC 2?

Honest answer: SOC 2 Type 1 audit is in flight, report targeted by end of Q3. Until then, the self-hosted edition is the answer to compliance — same MIT engine, runs entirely in your VPC, no data leaves your network. SSO/SAML, audit logs, and RBAC land alongside Type 1 in Q3.

Do you offer implementation help?

Only as an inbound design partnership. We run one paid engagement at a time (typical scope $15k+, 3–6 weeks) where our engineers co-build the integration with your team. It's outcome-priced, not hourly, and bundles a 12-month subscription. We don't pitch this — if you want it, email us.

Product pricing?

Peekr Cloud is free up to 10k spans/month, no card required. Paid tiers start at $29/mo (Starter) to $399/mo (Scale) by span volume. Extremis Cloud pricing is usage-based on memory and recall volume — email us for the current band. Self-hosting both products is always free (MIT).

Contact us

Tell us what you're building.

Tell us which product you're interested in and what you're shipping — we'll get back within 24 hours. Or skip the form and book a demo directly.

Registered as StarkSphereLabs Fz LLC · UAE free-zone LLC · invoicing globally · USD / AED / GBP / EUR.