A senior AI engineering team you can hire by the SKU — with the infrastructure already built underneath. We deliver the feature in 2 to 4 weeks, then leave you running on the same stack we shipped on: Extremis, Peekr, and Drop-in Friday. Your code stays yours.
The products
Each product solves one hard problem AI teams keep rebuilding from scratch. Pick one, stack all three, or self-host the open-source core.
A managed knowledge base for AI products.
Drop in once, and your agent answers from your own data — verified, cited, and updated as you go. Same MIT-licensed engine underneath the managed tier.
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The trace layer for LLM and agent stacks.
JSONL spans, token accounting, dashboards. Drop-in via the Peekr SDK; bundled free with Extremis Cloud.
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A memory-aware AI assistant for any website.
One script tag, a Friday widget on your site that already knows your content and remembers returning visitors. Built on Extremis + Peekr.
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No lock-in by design
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
Python library + FastAPI server + TS SDK. The engine Extremis Cloud is built on. SQLite by default, Postgres + pgvector for scale.
Work with us
Fractional AI team for pre-seed and seed startups that can't yet justify a $250k AI hire. Fixed scope, fixed price, every engagement deploys at least one of our products.
$3k
Codebase read-through, team interviews, written report on architecture, top 5 risks, and a 90-day roadmap.
Deliverable: 10–15 page report + 90-min readout call
$8k–$12k
From zero to one AI feature in production. Chatbot, summarizer, search-over-docs, copilot — pick one, we ship it.
Deliverable: PRs merged + deploy + Peekr dashboard
$12k–$18k
A working agent that does one thing reliably. Memory, tool-calling, eval harness, 2 weeks of post-launch reliability tuning.
Deliverable: Deployed agent + Extremis + Peekr + eval suite
$5k/mo
Ongoing senior judgment. Code review, design calls, eval setup, help hiring your first AI engineer.
Deliverable: Weekly office hours + async review
What our products are built for
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.
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.
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.
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.
How we build
01
Every engagement is fixed-scope, fixed-price, two-to-four weeks. We don’t do open-ended discovery — we do bounded delivery.
02
Public SKUs with public prices. You self-qualify in 30 seconds; we book the next call instead of negotiating estimates.
03
Stateless RAG bots are demos. Real products need layered memory with verification, citations, and a feedback loop.
04
Every product is MIT-licensed underneath the managed tier. If we ever stop shipping, your code keeps running on the same library.
FAQ
Two things, run by the same team: (1) we build AI infrastructure products — Extremis (memory), Peekr (observability), Drop-in Friday (agent runtime) — shipped as both open-source libraries and managed services; (2) we consult — fixed-scope AI engineering for pre-seed and seed startups. The consulting funds the products; the products are what we deploy on every engagement.
Brand-wise, no — one company, one website, one team. Operationally they reinforce each other: every consulting engagement deploys at least one of our products, so the client signs an SOW and a product subscription together.
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.
Public, fixed-price SKUs: Audit ($3k, 1 week), MVP Build ($8k–$12k, 2–3 weeks), Agent Build ($12k–$18k, 3–4 weeks), Fractional Lead retainer ($5k/mo). No bespoke quotes, no hourly billing. If a SKU doesn't fit, the one below it usually does.
First cohort is hand-priced — we invoice manually for the first 10 customers per product. Tier pricing lands once we know what real usage looks like. Self-hosting is always free.
Get in touch
Drop a note and we'll reach out within 24 hours — usually faster. Whether you want Cloud access, an OSS question answered, or a fixed-scope consulting engagement, this is the front door.
Book a call
30-min intro · Calendly
Pick a time →
ashwani@starkspherelabs.com
Send a note →
GitHub
@ashwanijha04
See the code →
Response time
< 24h on weekdays
UAE time (GMT+4) · async-friendly
Registered as StarkSphereLabs Fz LLC · UAE free-zone LLC · invoicing globally · USD / AED / GBP / EUR.