Your cloud scales on demand. Your workforce should too.
Enterprises are moving capital from fixed headcount into AI. The work hasn't gone away; it has changed shape. Sharedpro gives you pre-vetted engineering capacity, from delivery squads to AI-native roles, deployed within 24 hours, scaled with your roadmap and released without severance risk.
800+ vendor partners · 70+ cities · 96% joining ratio · Backed by 100X.VC & IIM Ahmedabad
Drag your quarterly demand. Watch what fixed headcount does to your P&L.
Owned headcount (fixed at 30)
Sharedpro elastic capacity
Cost model · assumes ₹2.4L/month fully-loaded cost per engineer
Trusted by Global Leaders
Orion Innovation
INT
LTTS
Cignex
Rishabhsoft
Marlabs
Xebia
Happiest Minds
Relevance Lab
Magic EdTech
Kellton Tech
Techwave
Thunes
Briota
USEReady
Techment
Benchmark
Zelis
Movate
Dentsu
Digitide
WPPThe budget didn't disappear. It moved.
AI is pulling enterprise capital from operating expense into capital expense, shifting it from permanent payroll to compute, tooling, and automation. But every rupee of AI CapEx still needs engineers to deploy, integrate, and run it. What enterprises no longer want is to own that labour permanently. They want capability on demand, just as they buy compute.
Four situations. One phone call.
If one of these looks like your quarter, the capacity already exists in our network. It just hasn't been pointed at your roadmap yet.
The AI integration squad
The board approved the AI budget; nobody approved 18 months of hiring. Get a build squad of LLM application, data, and MLOps engineers, assembled from live supply and shipping within the same quarter.
Squad assembled from live supply · not job ads
The Tier-2 ramp
Your new centre needs 30 seats filled on a schedule the local market can’t meet. Phase the ramp through our vendor network, with supply already available in 70+ cities.
Phased seats per month · ramp meets plan
The release rescue
A resignation two sprints before release, or one missing specialist blocking the whole team. One verified profile, AI assessment report attached, working within days.
Sprint timeline · gap filled in 24h · release on date
The clean handover
An underperforming staffing vendor on the way out, a roadmap that can’t pause. Overlap new deployed talent with the outgoing team so delivery never blinks.
Three-week overlap · zero delivery days lost
Same platform. Three different wins.
Workforce decisions now run through finance, engineering, and site leadership together. Pick your seat, and the story rewrites itself.
Convert fixed cost into variable capability.
Pay for deployed months only scale down at project end with zero severance exposure and no restructuring headlines.
Workforce cost that tracks the roadmap up in build quarters, down after go-live. Auditable, predictable, reversible.
Supply that exists before you ask for it
Traditional staffing starts sourcing when you sign. We invert it: our partner network holds pre-identified, pre-vetted engineers, so matching starts from availability rather than a job ad.
Define the capability
Tell us the stack, seniority, and duration, whether you need a squad for an AI integration or a single specialist to unblock a release.
30-min scoping callMatch from live supply
We match against engineers who are already assessed and already available inside our 800+ partner network.
Within 24 hoursDeploy and deliver
Talent starts on your project under your direction, with contracts, compliance, and payroll handled on our rails.
Start within 24–48 hrsScale up or release
Extend the squad when the roadmap grows, or release capacity the month a project ends. There is no severance, bench, or restructuring headline.
Your call, per quarterSee your shortlist before the first call.
Give it one work email. The agent reads your careers page, parses the open roles it finds, and matches them against 35,000 verified bench engineers while you’re still on the page.
- You share one work email.No forms, no scoping call, no account.
- It reads your careers page like a researcher.Finds your open roles and parses the JDs.
- 35,000 bench engineers, filtered live.Matched on stack, seniority and location.
- Verified profiles, AI interview reports attached.Evidence in hand before you book a call.
Opens the live product · works with your ATS, Slack and Teams
AI interview report attached
The AI we built to make 24 hours possible.
"AI-driven" usually means someone bought a tool. We build the agents, models, and rails ourselves, one for each stage your requirement passes through. Scroll to see the engine on the right follow the story.
Your requirement reaches 800+ vendors in minutes.
A WhatsApp-native agent broadcasts the spec across our partner network, collects live availability, and aligns rates. Matching starts with engineers who exist and are free, not with a job ad and hope.
See how deployment works →Hundreds of CVs in. A shortlist worth your time out.
NLP models read every incoming profile, including skills, real experience, fitment signals, and details buried below the keywords. They collapse the pile before a human hour is spent on it.
What reaches your shortlist →Structured interviews at any volume, scored on evidence.
Our own interviewer runs the technical and behavioural rounds with consistent, bias-checked assessments. It is never tired at candidate #200 and produces an evidence-backed report for every profile you receive.
Explore the AI Interviewer →Communication scored like physics, not vibes.
Pace, fillers, mid-clause halts, self-repairs, pitch variety: every number countable from the clock and the waveform, every claim backed by a playable clip from the answer itself.
See it measured, live →History verified against records, not the CV.
Employment history checked against EPFO records, credentials confirmed at source, and PF/ESIC statutory documentation handled on the same rails after onboarding.
Every stage above emits evidence, and it all lands in the profile you receive.
And the model we built, then fenced off.
We also built a 48-emotion Expression Measurement model, precise enough to ship as its own API. It powers learning and training only: students rehearsing for placements and employees sharpening how they present. It is a private mirror, used with consent. It never scores a candidate. That rule isn't just written on a policy page; it's enforced in our build.
Three products from the same engine. Each runs independently and has its own page.
Not sure where AI fits your process yet? Start with a sprint.
A fixed-scope, two-week AI Capability Sprint with the same team that built the engine above. We map one process, prototype the transformation on your data, and hand you a build plan priced as a squad. It is deployable from the network the moment you say go. The forward-deployed model, at India economics.
Fixed price · model-neutral · your data and IP stay yours
Only 1 in 10 reaches your shortlist.
Speed means nothing if the profiles are noise. Every engineer in our network clears six verification layers before becoming eligible for deployment, and every profile you receive comes with the evidence attached.
See exactly what lands in your inbox with every profile.Get a verified profile pack →
Freelancers work for themselves. Our engineers answer to an employer.
Gig marketplaces are fine for a landing page or a logo. When the work is core, such as a product roadmap, an AI integration, or anything touching your IP, you need capacity that someone stands behind.
Accountability
Sharedpro advantageAn individual, accountable to their next gig.
An employed engineer, backed by a vendor partner and a Sharedpro engagement SLA. Someone answers when something slips.
Control & direction
Sharedpro advantageTheir hours, their tools, async by default.
Works under your direction, using your standups, sprints, and tooling while assigned full-time to your project.
Continuity
Sharedpro advantageMid-project disappearance is your risk to absorb.
Continuity is backed by the employer chain, with replacement from live supply if it’s ever needed.
Vetting depth
Sharedpro advantageSelf-reported profiles, star ratings, portfolio links.
Six verification layers, top 10% pass, AI assessment report delivered with every CV.
IP & exclusivity
Sharedpro advantageParallel commitments are invisible; NDAs are hard to enforce against an individual abroad.
Full-time, exclusive deployment is written into the engagement, with NDA and IP terms enforceable through the employer chain.
Onsite presence
Sharedpro advantageRemote-only, almost always.
Open to onsite wherever feasible. Supply across 70+ cities makes hybrid and on-premise deployment a real option.
Support & compliance
Sharedpro advantagePayments, contracts, and disputes are on you.
Contracts, payroll, and statutory compliance on our rails, with a dedicated engagement team through the project.
To be fair to freelancers: for small, self-contained tasks, they're often the right call. This table is about sustained, core engineering work, where the cost of the wrong model shows up three months in.
Convinced the math beats marketplaces?Price the alternative →
What deployment looks like in the wild.
Three engagement patterns from our network, anonymised. Request the full references →
A 24-seat AI platform squad, at full strength in six weeks
A global fintech's new Tier-2 centre needed a data-platform team on a schedule local hiring couldn't touch. We phased deployment through three vendor partners, with the first engineers working in week one and the full squad in place by week six.
"The ramp plan stopped being the risk on our board slide."
A release rescued after a two-sprint-out resignation
A lead backend engineer resigned two sprints before a contractual release. We matched two verified specialists overnight from live supply. Their AI assessment reports were reviewed the same day, and both were onboarded within 48 hours.
"We interviewed Monday evening. They were committing code Wednesday."
A 15-seat vendor transition with zero roadmap pause
An underperforming staffing vendor was being exited mid-programme. We overlapped deployed engineers with the outgoing team across a three-week handover. Knowledge was transferred without disrupting the delivery cadence.
"The board never knew there was a transition. That was the point."
Scope your squad. Price the quarter. Skip the hiring cycle.
Set the shape of the capability you need, including AI engineers across LLM apps, agents & RAG, and MLOps. The model prices it live, shows when the squad can join your project, and calculates what the traditional route costs while you wait.
Estimated pricing · final rates depend on stack, location, and onsite mix
Your first 30 days, mapped.
The fastest way to trust a model is to see exactly what happens after you say yes and where every exit door is.
Scoping call
30 minutes: stack, seniority, duration, budget. We map it against live supply while we're still on the call.
Verified shortlist
Profiles from the top 10%, each with a full CV and AI assessment report. You interview only the ones you like.
Deployment
Selected engineers start on your project, under your direction. Contracts and compliance already on our rails.
Checkpoint
Structured review: continue, scale up, swap, or release. The decision is yours, every month after too.
Built for the last workforce shock. Ready for this one.
The pandemic broke fixed employment
We founded Sharedpro on a simple thesis: if talent could move between organizations instead of being laid off, jobs would be safer for employees and payrolls safer for companies. We built the rails for portable employment when the world needed them most.
AI is making the shift permanent
This time, the driver isn't a demand shock; it's capital reallocation. Enterprises are restructuring around AI and refusing fixed labour commitments. The same rails we built in 2020 are now the infrastructure the whole market needs.
The mechanism never changed. The market just caught up to it.
The questions every buyer asks first.
Can I hire AI engineers on contract in India?
Is this staff augmentation or project outsourcing?
How fast can engineers actually start?
Who actually employs the engineers?
How does pricing work?
What about IP protection, NDAs, and security?
What happens if a deployment isn't working out?
Can we hire someone permanently?
Do engineers work onsite?
Model your next quarter with elastic capacity.
A 30-minute working session: we map your roadmap against variable capacity, show you the live supply that matches it, and give you a cost model your CFO will actually like.
No commitment · deployment possible within 24 hours of signing