Custom AI Solutions
From document understanding to autonomous agents — we design and ship end-to-end AI systems on your stack or ours. Production-grade, observable, honest about limits.
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DigiCrafter · A studio for human-centered AI
We crack
hard problems
with care, code, and the right AI.
DigiCrafter is an AI studio that puts humans at the center. We build pragmatic systems — from legal-grade retrieval to autonomous agents — with the simplest tool that can do the job, never the flashiest.
Legal AIEducationAgentsInfrastructureContentOperationsConsulting
We build AI systems that hand intelligence to people — not ones that replace them.
A different kind of AI studio
Built on your hardware.
Built on your hardware.
Not someone else's API.
Most AI consultancies build you a wrapper around an OpenAI key. Six months in, you're locked into a vendor, your data lives in their logs, and your costs scale with every user you add.
We do it differently. Every system we build can run on your own GPUs, with open-weight models we've stress-tested at production scale. No per-token bills. No data leaving your network. No surprise deprecations when a frontier vendor renames their model.
/ 01
Privacy by architecture
Sensitive documents, customer records, medical notes — they never leave your infrastructure. Compliance teams sleep better.
/ 02
Predictable cost
Hardware is a one-time spend. No per-call invoices that grow with adoption. A used mining rig outperforms a year of API bills.
/ 03
Sovereignty
Your model, your weights, your fine-tunes, your control. No vendor can change the rules under you next quarter.
We practice what we preach. DigiCrafter runs on its own on-prem inference fleet built from commodity hardware. We can build you yours.
Multi‑cardfleet
On‑preminference
Commodityhardware
Selected projects · all eight
Systems in production, in build, in concept.
Every initiative is a real system — with real architecture, real trade-offs, and real ambition. Scroll the rail or click any card to read the thinking behind each.
Browse all 8 initiatives
Legal AI · RetrievalIn build
CBIC RAG — Indian Tax Law
Quote-grounded retrieval over the Indian indirect-tax corpus. Section-aware chunking, on-prem embedding fleet, answers that read like legal briefs.
Read case study
Vertical SaaS · Auto ServicesIn build
Auto Easy
A per-shop services-and-booking app. QR-bound onboarding, four roles in one codebase, currently piloting with a real auto-body shop.
Read case study
Vertical Agent · Pharma CILive
Pharma CI Job Agent
Scrapes 30+ career pages each morning, scores fit deterministically, dedupes with fuzzy + hash, and emails a structured report. Never auto-applies.
Read case study
QA Tooling · SaaSIn build
Agentic QA
A regression-testing harness for AI-driven applications. Tests are agent skills, evidence is verified on disk, and the LLM never marks its own work.
Read case study
Education · Self-hostedIn build
EarnLearn
An earn-to-learn platform for the student who isn't self-motivated yet. Progress unlocks small real rewards. Offline-capable, parent-student role separation.
Read case study
Personal AI · FamilyIn build
Wisdom Portal
A photo-AI pipeline that ingests thousands of family photos, dedupes and clusters by face and event, and produces a navigable portal — eventually a printed ebook.
Read case study
Content · Video PipelineConcept
RescueViral Creator OS
An end-to-end short-form video pipeline: script → narration → auto-edit → render → publish. Local LLM, local TTS, no per-video API cost.
Read case study
Infrastructure · Rig OSLive
GPU Rig Operations
An on-prem inference fleet on commodity hardware, with a custom shell, fleet-wide power orchestration, deep-idle states, and per-card model placement.
Read field note
1 / 8
What we do
Three ways to work with us.
We work small, ship pragmatic, and stay close to the people who'll actually use the thing. Most engagements start with a 30-minute call to see if we're a fit.
Strategic Consulting
You have a problem, you suspect AI could help, you want a clear-eyed read — not a sales pitch. We diagnose, scope, and tell you what's worth doing (and what isn't).
Talk to us about strategy →Internal Tools & Agents
The high-leverage internal tools that compound — research agents, knowledge bases, workflow automations — built for your team, not for a screenshot.
Talk to us about an agent →How we work
Four steps. No theatre.
We've found that the simplest process that respects your time and our craft looks like this. We share progress weekly, and we say "this won't work" when it won't.
01
Listen
The actual problem — not the version dressed up for an AI vendor. One call, no slides.
02
Map
The smallest system that could possibly work. Trade-offs documented; assumptions checked early.
03
Ship
A working slice in weeks, not quarters. You see real behavior before we ask for the full build.
04
Iterate
Real users, real feedback, real changes. We tighten what matters and remove what doesn't.
Community
A free 45-minute call for anyone moving into AI.
Started as a Nextdoor post. Now open to anyone serious about transitioning into AI work — engineers, analysts, students, career-changers. No pitch, no upsell. Just the questions you've been afraid to ask, answered honestly.
Book a community call- What to actually learn first (and what to skip)
- Which tools are worth your weekend
- Picking a first project that proves something
- How to read a job spec and what to ignore
- Where the real opportunities are this year
Field notes
What we're learning, in writing.
Long-form notes from the work — production lessons, dead ends, and the occasional opinion. Written by hand, not by autocomplete.
All notesRunning a multi-card local inference fleet — and why
Commodity hardware, a custom shell, and the hard-won lesson that "concurrent cold-load" was a mistake we kept rediscovering.
Read note →Section-aware chunking for legal documents: what we got wrong
Why naive recursive chunking fails on tax law, and the two-pass plan that finally moved retrieval into legal-grade recall territory.
Read note →Choosing the simplest local-inference runtime that worked
A short post about choosing the simplest tool for the job — and how three days of head-scratching turned into a one-line config.
Read note →Let's build something pragmatic together.
See you on the call.— RG, partner