Per-seat pricing scales with your headcount
Every hire adds a line to six invoices. Grow the team 30% and the software bill grows 30% — for the same tools doing the same job.
IT consulting · Noida, India — serving clients globally
Stop renting your software. Own it, and make it intelligent.
Orchestrate replaces per-seat subscriptions with self-hosted systems built for you — typically 40–70% cheaper over three years, with the code, the data, and the roadmap in your hands.
Live ledger
₹0.00
billed since you opened this page, for a typical 50-seat stack at ₹2,500 per seat per month.
- Monthly subscription bill
- ₹1,25,000
- Over three years
- ₹45,00,000
- [CLIENT]
- [CLIENT]
- [CLIENT]
- [CLIENT]
- [CLIENT]
- DPDP Act 2023 aligned
- ISO 27001 [IN PROGRESS]
- SOC 2 [IN PROGRESS]
- GDPR-ready delivery
- PCI-DSS scoped checkout builds
- ₹[X] crore
- saved for clients
- [N]
- systems migrated
- $[X]M
- GMV processed
- [N]
- matters managed
- [N] lakh
- documents reviewed
- [99.X]%
- uptime across deployments
The problem
What your software stack actually costs
The subscription line on the P&L is only the visible part. Four structural costs compound underneath it.
Renewal hikes you can't negotiate
List prices rise 8–12% a year, and by renewal your data is inside the tool. The switching cost is the vendor's pricing power.
Revenue share and transaction fees
Hosted commerce platforms take a slice of every order, then the app stack charges again on top. Your margin funds their growth.
Data lock-in, intelligence gated
Exports are throttled, integrations are tiered, and the AI features you want sit behind the enterprise plan. Your own data, rented back to you.
Run your numbers
What would owning it save you?
Three calculators, every assumption on screen. Change any input and check the arithmetic yourself.
₹
%
Three-year net savings, owned vs. rented estimate
₹31.6 lakh – ₹79.6 lakh
Your stack costs ₹1.2 crore over three years on subscription.
Based on the assumptions shown below. Book a real audit for a number you can take to the board.
3-year subscription spend₹1.2 crore
Owned system, build + 3-year run₹38.4 lakh – ₹86.4 lakh
See the line-by-line breakdown
Year-by-year costs, the full owned-system model, and every number behind the headline. Free, sent nowhere else.
Assumptions in this estimate
- Subscription prices rise 9% a year — adjust it above; list prices have risen 8–10% annually.
- Build cost is a range, ₹8 lakh–₹18 lakh per tool, because scope varies. A real audit narrows it.
- Run cost — hosting, maintenance, support — is 20% of build cost per year.
- Per-seat cost is per tool; the total stack is seats × tools × seat cost.
$
$
%
%
$
%
Three-year savings on an owned headless stack estimate
$200,187 – $392,187
The platform costs $246,600 this year — $898,238 over three years as GMV grows 25% annually.
Based on the assumptions shown below. Book a real audit for a number you can take to the board.
Year-one fees by type
Platform plan$27,600
Revenue share$50,000
Payment processing$145,000
App subscriptions$24,000
3-year removable platform charges$488,187
Owned stack, build + 3-year run$96,000 – $288,000
See the line-by-line breakdown
Year-by-year costs, the full owned-system model, and every number behind the headline. Free, sent nowhere else.
Assumptions in this estimate
- GMV grows 25% a year — adjust it above. Platform fees scale with GMV, which is the whole problem.
- Payment processing is not eliminated by migrating. We assume a raw rate of 2% remains; only the platform's markup above that counts as savings.
- An owned build absorbs about 60% of app-stack spend — some third-party services stay.
- Owned build cost is a range, $60,000–$180,000, plus 20% of build per year to run.
₹
₹
₹
%
Revenue leaking through unbilled time each year estimate
₹43.2 lakh
Capture-at-source typically recovers about half — ₹21.6 lakh a year. The subscription outlay of ₹7.5 lakh is the smaller number.
Based on the assumptions shown below. Book a real audit for a number you can take to the board.
3-year benefit: recovered time + recaptured leakage + subscriptions avoided₹1.8 crore
Owned system, build + 3-year run₹40 lakh – ₹96 lakh
See the line-by-line breakdown
Year-by-year costs, the full owned-system model, and every number behind the headline. Free, sent nowhere else.
Assumptions in this estimate
- The system removes 60% of manual diary, billing, and file-admin time — and only 50% of recovered hours are counted as converting to billable work.
- Leakage is valued against 30 billable-capacity hours per advocate per week, 48 working weeks a year.
- 50% of leaked time is assumed recoverable through capture-at-source; the rest stays lost.
- Owned system build is a range, ₹25 lakh–₹60 lakh covering both pillars, plus 20% of build per year to run.
Services
Five ways to stop renting
Each practice ends the same way: a system you own, running your data, getting smarter over time.
Industries
Different buyers, different fears — one answer
A bank CIO wants audit trails. A D2C founder wants conversion. A managing partner wants confidentiality. Each gets a system built for that.
How we work
Five steps, no leap of faith
Every engagement is structured so you can verify the case before you commit, and keep the old system until the new one proves itself.
- 1
Audit
We map every subscription, seat, fee, and workflow, and put a number on what the current stack really costs.
- 2
Blueprint & TCO model
A build plan with a three-year cost model you can check line by line — and walk away from if the numbers don't clear.
- 3
Pilot migration
One team or one workflow moves first. Small enough to be safe, real enough to prove the case.
- 4
Full rollout, parallel run
The old system stays live until the new one has earned trust. Nobody cuts over on faith.
- 5
Handover & training
Your team runs it, your repository holds the code. Managed support if you want it — optional, never required.
For commerce migrations
Zero-downtime cutover and SEO-preserving URL migration — rankings and order history survive the move.
For legal practices
NDA before we see a single file, a single-practice-area pilot, and training for advocates, clerks, and admin staff.
AI capabilities
Intelligence, added to systems you own
No platform tier to unlock, no per-query pricing. Twelve things we build into client systems today.
Document intelligence that reads invoices, contracts, and forms. So data entry drops from hours to minutes, with fewer keying errors.
Internal knowledge assistant grounded in your own documents. So staff get cited answers instead of asking around or guessing.
Semantic product search that understands intent, not keywords. So shoppers find “warm jacket for Leh in December” — and buy it.
AI support agent grounded in your catalog and order data. So routine tickets resolve instantly; agents handle the hard ones.
Auto-population of the matter register from uploaded filings. So a new matter is registered in minutes, parties and dates extracted.
Semantic search across the firm's own prior arguments. So counsel finds where the firm argued this point before — instantly.
Privilege-flagged bulk document review. So large paperbooks classified and ranked, humans confirm the flags.
Workflow automation with agentic handoffs. So approvals, escalations, and follow-ups route themselves.
Anomaly and fraud detection on live transactions. So the odd pattern surfaces today, not in the month-end review.
Demand forecasting from your own sales history. So stock matches demand — less dead inventory, fewer stockouts.
Conversational interface over legacy databases. So anyone queries twenty years of records in plain English.
Predictive analytics on operational data. So reports say what happens next, not just what happened.
Case studies
Problems, systems, numbers
Legal engagements stay anonymized by default — we name a client only with written permission.
Legal & Professional ServicesLegal TechnologyAI-fication
[ANONYMIZED] full-service law firm, 40+ advocates
- Problem
- Matters lived in spreadsheets, hearing dates in a clerk's paper diary, and precedents in a shared drive nobody could search. Appearances went unbilled and limitation dates depended on one person's memory.
- What we built
- Both pillars: a matter register with hearing diary, limitation alerts, and billing — and a grounded research assistant over the firm's own opinions and drafts that cites a retrievable source for every answer.
- Measured result
- ₹[X] lakh in previously unbilled appearances recovered in year one
- [X]% of hearing dates now entered from mobile by clerks
- Research memo first drafts in [X] minutes, each citation linked to a source document
Retail, E-commerce & D2CE-commerce Engineering
[CLIENT] — D2C brand, $[X]M GMV
- Problem
- Platform plan, revenue share, transaction fees, and an app stack of [N] subscriptions were consuming margin that grew every time sales did.
- What we built
- A headless storefront on an owned stack, with full catalog, customer, order, and review migration and URL-for-URL redirects.
- Measured result
- $[X] in annual platform and app fees eliminated
- Zero-downtime cutover; organic rankings held through migration
- +[X]% conversion after the replatform
Professional ServicesSaaS MigrationCustom IT Products
[CLIENT] — professional services firm, [N] staff
- Problem
- CRM, ticketing, and BI subscriptions priced per seat — every hire made the same tools more expensive, and the data sat in three vendors' clouds.
- What we built
- One integrated internal platform replacing all three tools, self-hosted, with single sign-on and reporting the old BI tier had gated.
- Measured result
- [X]% lower three-year TCO than the renewal quotes
- Per-seat cost eliminated — headcount growth no longer raises the bill
- All customer data on the firm's own infrastructure
Banking & Financial ServicesAI-fication
[ANONYMIZED] non-banking financial company
- Problem
- KYC onboarding meant manual review of identity and income documents — slow, inconsistent, and impossible to audit at volume.
- What we built
- Document intelligence that extracts, verifies, and flags KYC documents for human decision, deployed on-premise with a complete audit trail.
- Measured result
- Onboarding time cut from [X] days to [X] hours
- [N] documents processed per day with human review on flagged cases only
- Every automated decision logged and reviewable for RBI audit
The hard questions
Asked by every sceptical buyer. Good.
If an answer here doesn't hold up in the demo, walk away.
Can the AI invent a citation?
No. Research outputs are grounded retrieval: every answer traces to a source document you can open. When the system finds nothing, it says “not found” — it does not fill the gap. Low-confidence retrievals are flagged for human verification. Test exactly this in the first demo; we expect you to.
Will my team actually use it?
This is where most rollouts fail, so we plan for it: mobile-first entry for clerks and field staff, day-end bulk time capture for people who won't log as they go, and a pilot limited to one team or practice area before anything firm-wide. Adoption is an engineering requirement, not a training afterthought.
What happens to our existing data?
It moves with you. We migrate from spreadsheets, legacy software, and vendor exports — cleaned, deduplicated, and verified against the source before cutover. Nothing is left behind in a tool you're leaving.
Where does our data live?
On your own servers, or in a private cloud you control — within India by default, meeting DPDP Act 2023 residency from day one. We never host your data on shared infrastructure.
Is our data used to train your models?
No. Your data trains nothing shared. Models run inside your deployment, and what the system learns from your documents stays in your system.
How long does migration take?
The pilot is deliberately small — one workflow or practice area — and moves in weeks, not quarters. Full rollout is phased, and the old system stays live in parallel until the new one has proven itself on your real work.
Will I lose SEO rankings or order history?
No. Commerce migrations carry every product, customer, order, and review, with URL-for-URL redirects and a zero-downtime cutover. Rankings and history are treated as assets to migrate, not casualties.
What about support after handover?
Your team is trained to run the system, and documentation comes with the code. If you want us to stay on, managed support is a retainer you can end — not a dependency you can't.
Who owns the code?
You do. Source code, data, and infrastructure are yours from handover, with full source escrow during the engagement. If we disappeared tomorrow, your system wouldn't.
Clients
In their words
“[CLIENT QUOTE — pending written permission]”
“[CLIENT QUOTE — pending written permission]”
“[CLIENT QUOTE — pending written permission]”
Find out what your stack really costs.
The audit is free and specific: every subscription, seat, and fee, against a three-year owned alternative. If the numbers don't clear, we'll say so.
- A line-by-line map of your current software spend
- A three-year TCO comparison you can verify
- No obligation — the model is yours either way
Prefer a call? [CALENDAR EMBED — add booking link before launch]