Ideator Labs is an AI, data and technology consulting studio. We help professional-services and operations-heavy firms — in law, accounting & finance, healthcare, manufacturing and distribution — find where margin leaks, put a defensible number on it, then build the AI, data and software systems that recover it. Fixed-fee, senior-only, delivered remotely worldwide.
One studio across the whole arc: the thinking, the building, and the running of it. AI and data are our core strength — but the job is the outcome, not the acronym.
Operating-model and process diagnostics, profitability & margin analysis, pricing strategy, AI-readiness and data strategy — plus the sequenced, costed roadmap for what to fix first.
Data engineering consulting — pipelines, warehouses, analytics & BI — plus LLM agents, RAG, document AI and workflow automation. Measured against a baseline.
Custom software, product builds, integrations, dashboards and copilots — engineered to production and adopted with training, not left as slides.
Vertical solutions tuned to how specific firms really operate — law, accounting & finance, and healthcare first, with the same engineering underneath.
The tools are ready and cheap. What's missing is knowing where to point them — and someone who can wire them in and prove the number. That's the gap we work in.
Value concentrates in the same six levers across operations-, document- and data-heavy firms. Set your revenue band, flag the levers you recognise, and the model sizes the value at stake — directional, from published benchmarks. A three-week diagnostic turns the ones that matter into your real number.
Pick your revenue band, then flag the ones that sound like you.
Directional only — your revenue band × published benchmarks, weighted by what you flagged. Not a promise about your P&L. The three-week diagnostic replaces this with a number built from your own data.
Every diagnostic ends with a priced opportunity map built from your data — no inflated findings, no manufactured urgency. If we don't find opportunities meaningful enough to act on, we'll tell you plainly, and the roadmap workshop is on us. The numbers have to defend themselves.
Every engagement runs one disciplined protocol. No opinions without instruments; no recommendations without a number attached.
Stakeholder interviews, systems inventory, data extraction. We establish what is actually happening — not what the org chart says should happen.
Every suspected leak becomes a hypothesis we can actually test. Each one gets a data check and a clear verdict — confirmed, ruled out, or worth a closer look.
Margin waterfalls, time-and-volume studies, cohort analysis. Each confirmed issue is expressed in currency per year — the value map.
Impact-versus-effort prioritization, a 12-month roadmap, a business case per initiative — owners, dates, payback periods.
We stay to build: automation, dashboards, AI workflows — tracked against the baseline we measured, reported as cumulative value realized.
Every relationship starts small and fixed-fee. We earn the next step by finding money in the current one.
AI-readiness, profitability, or operations deep-dive. Three weeks, ~3 hours of your team's time, ends with a priced opportunity map you own either way.
The sequenced 12-month plan: quick wins first, every initiative costed with its payback period, ready for board or lender scrutiny.
We implement monthly: document AI, workflow automation, KPI dashboards, AI copilots — shipped in sprints, adopted with training, measured against baseline.
Quarterly business reviews, an operating rhythm, and a standing seat at your table — accountable to the cumulative value number, not to slides.
Wherever the work is manual, the data is messy or underused, or the pricing and margin are leaking — we start with one problem, prove the number, then expand.
Intake, drafting, discovery triage, matter status and billing. We surface where associate hours quietly leak and automate the repetitive path around them.
GST reconciliation, document chasing, Tally and portal re-keying — often 15–20 recoverable hours a week per team, turned back into billable capacity.
Patient intake, records, scheduling, coding and billing. We cut the manual handoffs that pile up across multi-site operations.
Quotations, production scheduling, inventory, dispatch and collections — where mid-market manufacturers, distributors and logistics firms leave margin on the table.
We do our best work for established, profitable firms with something real to optimise. If that's you, we'll find a number worth chasing. If it isn't, we'll say so.
Roughly ₹25–500 Cr (~$3–60M) revenue, ~20–500 staff. Operations-, document- or data-heavy. Profitable, founder- or partner-run. Delivered remotely, worldwide.
Law, accounting & CA firms, healthcare; manufacturing, distribution & logistics — and data-rich firms whose analytics or pipelines are messy, siloed or underused.
The person with authority to act: owner, founder, managing or owning partner, COO or CFO. Authority beats activity beats title.
Pre-seed startups burning runway, or anyone shopping for hourly bodyshop work. We sell measurable outcomes on fixed fees — not hours.
We don't bill for activity; we commit to a number. These are the outcomes we target — the exact figure always comes from your own data.
Honest math: the ranges above are industry benchmarks, not promises about your business. Your KPI — hours, margin, cost-to-serve, DSO, pricing uplift, or data reliability — is set from your baseline, and we're measured against it.
Advisory is the practice. The Lab is the venture side of the studio — independent products being incubated with the same engineering we bring to client work, plus the open research underneath them. Each venture is built to stand on its own; the advisory practice is how its lessons reach clients early.
A Growth OS for service businesses — an outcome engine, not a directory.
Mines buyer-intent signals from public sources into a live intent graph, reasons over them with LLMs, and drives agents that write the outreach, draft the proposal, and track the close — one pipeline from first signal to signed deal.
Pipelines with reflexes — they fix themselves.
Declare the outcome you need from your data — how fresh, how clean, at what cost — and the engine plans the pipeline, runs it, recovers from failures on its own, and gets sharper with every cycle. Autonomy is earned: it starts as a copilot and proves competence before it acts alone.
Open research — the shared foundations
Open research into composable orchestration for LLM agents and tools — schema-driven execution and agent-to-agent exchange.
STATUS: OPEN RESEARCHA lightweight multi-transport framework for scaling Model Context Protocol tool servers across HTTP, WebSocket, and CLI.
STATUS: v0.1 TESTINGContext-aware memory for AI assistants: automatic project classification, privacy tiers, and persistent retrieval across sessions.
STATUS: EARLY RESEARCHEverything we recommend to clients has survived our own lab first — the ventures run on the research, and the advisory work runs on both.
Bring one broken process or one suspicious number. In 25 minutes we'll tell you whether there's a figure worth finding — and if there isn't, we'll say so and point you somewhere useful.