agne-ai-labs / fractional-ai-architect Available
Get in touch

The work, in detail.

The domain stacks we build, how your sources become structured atoms, how we work, and how your data and logic stay yours.

##Projects

One core, shaped to each domain. A sales team and an energy auditor run on different signals — so they get different stacks, not the same generic tool. A sample of what that looks like in production:

๐Ÿ“‡ sales-stack

Lead engine. Score, enrich, and prioritize leads from your CRM, inbox, and enrichment sources — for any sales team, in any industry. Signals in; a ranked “who to call today” out, with the reasoning attached.

๐Ÿ”€ ops-stack

Workflow manager. Route, track, and close the loop on recurring operational work — for any ops department. Scattered tasks and approvals become a system that remembers state and measures throughput.

โšก energy-stack

Audits & consumption. Ingest meter, billing, and sensor data; flag waste, model savings, and keep compliance evidence audit-ready. Turns the annual scramble into a standing system.

๐ŸŒฑ agri-stack

Planting & yield. Every field is a stream of signals — soil, water, nutrients, weather, seasonality. Every planting is already an experiment; this makes it one you can measure.

$ leverage –domain agriculture
observe     soil moisture, N-P-K, water table, weather
detect      which plots and seasons underperform
experiment planting window · rotation · irrigation
measure     yield per drop of water, per unit of input
compound    next season starts from what worked ⟲

Logistics, manufacturing, care, finance — the domain changes; the core doesn’t. If your team makes the same kind of decision every week, it can have its own stack.

##Connectors in, atoms out

Plug in the systems where work already happens. We normalize every source into one stream of structured knowledge — atoms: entities, events, and decisions in an open, queryable schema. Source-agnostic by design — if it has an API or a file, it can feed the graph.

bigquery email calls ยท granola ftp github mcp servers + any source
normalizeresolve entitiesextract eventsemit atoms
atom.jsonld — institutional memory, one unit
{
  "@context": "https://schema.org",
  "@type": "Event",
  "@id": "atom://decision/8f3a2c",
  "name": "Adopt tiered pricing for enterprise",
  "recordedAt": "2026-07-14",
  "source": ["calls", "email", "bigquery"],
  "agent": { "@type": "Person", "roleName": "operator" },
  "supersedes": "atom://decision/5b1d90",
  "status": "entitled"
}

Open format, so it stays yours — portable, versioned, and readable by any agent or dashboard you point at it. No lock-in, no black box.

##How we work

a1f2e9d Humans judge. AI surfaces the evidence.

No model matches a seasoned operator’s judgment. But operators are drowning in noise. We build for complementarity: AI handles memory, pattern detection, and retrieval at scale — humans handle reasoning, context, and the decisions that matter.

c7b3d41 Build the core. Buy the commodity.

Custom systems only where your domain logic is the moat. Everything commodity — infrastructure, orchestration, storage — we assemble from proven parts. You pay for leverage, not for reinvented wheels.

e9a8c02 Ship in phases. Measure everything.

Ground truth first, automation second, intelligence third. Every phase ships something you use daily, and every claim about impact is measured — not asserted.

##A fractional AI architect — end to end

Not a strategy deck you’re left to go build. Not a full-time hire you can’t yet justify. A senior architect who designs the system and ships it — embedded with your team, at the fraction you actually need.

architect → doer

One person designs the system and builds it: data, connectors, models, interface, deploy. Whiteboard to production, no handoff.

fractional

Senior AI architecture without a full-time salary or a big-firm retainer. As much as the work needs, and no more.

embedded

Built inside your team, tools, and data — not from the outside. You own what ships. No black box, no lock-in.

##Your logic. Your data. Nobody else’s.

The system is built on your business logic and your data — and both stay yours. Nothing is pooled, resold, or used to train someone else’s model. The edge you build is an edge only you hold.

๐Ÿ”’ in-house — 100% isolation

Run the models on your own infrastructure. Data and business logic never leave your walls — no third party, no external API, no leakage. Total sovereignty for the work that matters most.

๐Ÿ›ก๏ธ hosted — obfuscation layer

Prefer hosted models for speed or scale? An obfuscation layer strips and tokenizes identifiers before anything leaves — the provider sees the shape of the problem, never your IP.

Ready when you are.

Let’s build leverage that’s yours alone — your data, your logic, your edge.

Start a conversation nikhil.shirahatti@agneailabs.com