Enterprise AI deployments, running on-premises.
Our production portfolio across finance, healthcare and manufacturing — selected by addressable market, deployment maturity and demonstrated return.
Skymeric Technologies
Enterprise AI solutions, deployed inside your firewall
Each of these solutions runs on-premises, inside the customer’s own network. No document, transaction or patient record crosses the perimeter. That is usually why these projects reached production when earlier attempts stalled — the compliance answer was settled before the build began rather than argued about after it.
They span finance, healthcare and manufacturing, and they are aligned to DPDP, HIPAA-readiness, GxP and the sector requirements that apply. Every one has been deployed, measured against a real baseline, and turned into something we can build again.
Ten solutions, in production, on sovereign infrastructure
Each solution is designed for real-world operations, with AI deployed on sovereign infrastructure and measurable business impact.
Invoice, Expense & Treasury Management Agent
The full money-out and cash-visibility cycle, with no financial document leaving your perimeter.
The problem
Invoices arrive by email and portal as PDFs, scans and photographs. Teams key them by hand, reconcile each against their PO, and chase mismatches after payment has gone out. Expense claims are audited on a sample. Treasury rebuilds the cash position in spreadsheets every week, so funding decisions are made on numbers that are already stale.
The solution
One finance operations agent covering the whole cycle — invoice processing, expense audit and treasury — inside your own infrastructure. Invoices become validated, accounting-ready records that post straight to your ERP, built for Indian and US statutory requirements. Every expense claim is audited against policy rather than sampled, with only exceptions routed to a reviewer. Treasury gets a daily cash position and forecasts from one week to 36 months, without spreadsheet consolidation.
Who it is for
CFO · Finance Controller · Accounts Payable Lead · Group Treasurer
Impact
Per-invoice processing cost down 60–80%, cycle time from 2–3 days to minutes, data-entry errors cut by over 90%. Expense audit coverage lifted from sampling to 100% of claims. Typical payback in 4–6 months above 3,000 invoices a month.
Hospital AgenticAI Platform
One governed platform for every hospital workflow, with zero patient data leaving the facility.
The problem
Hospitals buy documentation, claims and revenue-cycle automation as separate systems, each with its own hosting, its own access model and its own audit trail. The integration cost lands on the hospital, and every new workflow starts the procurement cycle again.
The solution
A fully on-premises digital workforce for clinical-adjacent documentation, claims and revenue-cycle automation, running on dedicated NVIDIA hardware inside the hospital's own network under one set of role-based controls and one audit trail. Healthcare and finance automation sit on the same governed platform. Because every new workflow rides on hardware that is already in place, the second and third automations cost a fraction of the first.
Who it is for
Hospital CEO · CIO / CMIO · Revenue Cycle Head · Compliance Officer
Impact
Around 260% three-year ROI with roughly 10-month payback and $180K a year in net savings, for a 300-plus bed hospital group including DGX-class hardware.
Industrial Vision AI Suite — Quality, Safety & Revenue Assurance
Every camera-driven use case on the plant floor, on one orchestration layer and one hardware footprint.
The problem
Plants buy vision point solutions one problem at a time — a defect camera here, a safety camera there, a weighbridge camera somewhere else. Each arrives with its own box, its own vendor and its own integration bill, and none of them talk to the PLC or to each other.
The solution
A single plant-wide edge vision platform covering quality, safety and revenue assurance. On quality: SKU and crate verification across production lines with automatic rejection, foundry defect detection and pump assembly checks. On safety: zone intrusion with machine interlocks, PPE compliance scored per line, shift and operator, and SOP discipline monitoring. On revenue: every weighing and billing transaction verified against what the camera actually saw. One orchestration layer and one edge footprint, with deployment patterns already proven in dairy and FMCG, automotive component and heavy engineering plants.
Who it is for
Plant Head · Quality Manager · EHS Lead · Operations Director
Impact
SKU mix-up and mis-dispatch errors cut by over 95% with 80–85% less manual verification. Zone-intrusion and near-miss incidents down 60–80%. PPE compliance lifted from a 60–70% baseline to 95%+. Escaped casting defects down 40–60%, and 2–5% of revenue leakage recovered. Typical suite payback in 9–12 months.
Credit Risk & AUM Growth Agent
Both sides of the balance sheet — credit decisioning on the lending side, portfolio growth on the wealth side.
The problem
Credit assessments vary by analyst and segment, and the reasoning behind a score is hard to reconstruct when a committee or a regulator asks. On the wealth side, XIRR and capital-gains figures come out of spreadsheets that nobody can fully audit, and every advisor question becomes a back-office request.
The solution
One intelligence platform spanning lending and wealth. Credit assessments are consistent and explainable across individual, SME and corporate segments, delivered as board-ready credit reports with plain-language scoring narratives — at conversational speed for relationship teams and at batch scale for the portfolio. On the wealth side, audit-grade XIRR and capital-gains reporting replaces the spreadsheet, advisors and clients query holdings and allocations in plain language, and AUM analytics attribute inflows, outflows and advisor-level growth. Every figure is defensible to a credit committee, an auditor or a regulator.
Who it is for
Credit Risk Officer · Underwriter · Portfolio Manager · Head of Investments
Impact
Credit assessment turnaround 60–80% faster with consistent, committee-defensible scoring across segments. Audit-grade return reporting replaces error-prone spreadsheets, and advisors answer portfolio questions in seconds.
AI Medical Imaging & Diagnostic Suite
Radiology, retinal, CBCT and EEG — working alongside clinicians, never instead of them.
The problem
Reporting backlogs grow faster than radiology and screening capacity, and the urgent case is not always the one at the top of the queue. Cloud-based imaging AI is a non-starter where patient images cannot leave the facility.
The solution
A diagnostic suite covering chest X-ray, retinal screening, CBCT and dental imaging, and EEG analysis, deployed entirely inside the facility. Findings carry confidence scores and cases are triaged automatically, so the urgent study surfaces first rather than waiting its turn. Developed within India's SAHI high-risk clinical AI framework, with mandatory clinician review on every finding — and the suite doubles as a teaching platform for junior clinicians.
Who it is for
Head of Radiology · Chief Medical Officer · Diagnostic Centre Director · Clinical Quality Lead
Impact
Clinician productivity uplift of 25–35%, with around 140% three-year ROI and $200K a year in net savings. Case prioritisation ensures urgent findings reach a specialist first.
SkyPulse™ — Predictive Plant Intelligence Agent
The heartbeat monitor and the forecast for the plant, on one time-series platform.
The problem
Maintenance is reactive because nobody sees the failure coming, and planning is reactive because the demand forecast and the maintenance calendar are built by different teams in different tools. Downtime lands in the middle of a production commitment, and inventory is held against uncertainty rather than against a number.
The solution
One platform covering asset health and planning together. On the asset side, the plant moves from reactive to condition-based maintenance — failures are predicted and work is recommended before the breakdown, not after it. On the planning side, demand is forecast by SKU, line and plant across horizons from one to 36 months. The two meet where they should: material and inventory plans are aligned to maintenance windows and fed into production scheduling and procurement.
Who it is for
Maintenance Head · Plant Manager · Supply Chain Head · Production Planner
Impact
Benchmarks show 30–50% less unplanned downtime, 20–40% lower maintenance cost and 20–25% longer asset life. Forecast accuracy gains of 20–30% typically yield 10–20% inventory reduction, with fewer stockouts and expedited-freight events.
Sovereign Customer Service & Onboarding Agent
First contact to verified onboarding, with no conversation or identity document leaving the perimeter.
The problem
Conversational service is the largest category of enterprise AI deployment and the one most banks cannot buy off the shelf, because the recordings, transcripts and identity documents involved are exactly the data that is not permitted to leave. Meanwhile onboarding still takes a day or two of manual verification.
The solution
The customer lifecycle end to end on sovereign infrastructure. Voice and chat agents, with an AI avatar front end, handle customer, patient and citizen queries 24/7 in natural language. Identity verification runs in the same platform, turning onboarding from a one-to-two-day exercise into a few minutes, with a field-by-field verification report ready for the compliance file. A conversation hands off to onboarding, servicing or a human agent without the customer repeating themselves, and the full interaction audit trail stays inside the institution.
Who it is for
Head of Customer Service · Retail Banking Head · Compliance Officer · Onboarding Operations Lead
Impact
Benchmarks show 40–60% of queries deflected from human agents. Onboarding turnaround compressed from one to two days down to under 10 minutes, with per-verification cost down 70–80%.
Humanoid TeleOps & Collaborative Robotics Agent
Programmed and validated in Pune, deployed on your floor in the USA.
The problem
Humanoid and cobot deployments stall on the cost of the robotics engineers who have to be standing next to the robot. Commissioning on a live line takes months, and inspection stays at 5–10% sampling because there is no capacity to do more.
The solution
Physical AI covering both humanoid and collaborative robotics, with the engineering effort handled remotely from our Pune centre. Robots are programmed and proven against a digital twin before anything moves on your floor, then updated over the air for the life of the deployment — so no robotics engineers are needed on site and commissioning finishes in weeks rather than months. Alongside this, eye-in-hand cobot cells deliver 360° part inspection, pick-and-place and weld quality assessment. All inference runs on-premises, so no customer data leaves the facility.
Who it is for
Manufacturing Engineering Head · Automation Lead · QA Manager · Plant Operations
Impact
Humanoid programming and support costs cut by up to 60%. Cobot cells enable 100% part inspection against 5–10% sampling, at three to four times the inspection throughput, freeing skilled QA staff for higher-value work. Typical cobot cell payback in 12–18 months.
Maintenance & Engineering DocuAI Agent
Drawings, manuals and service history turned into searchable, actionable knowledge.
The problem
Part codes and specifications live in CAD drawings and engineering PDFs that nobody can search. Purchase orders are checked against them by hand, or not at all, and the mismatch is discovered when the wrong part arrives. Maintenance knowledge sits in paper archives and in the heads of people who are about to retire.
The solution
Document intelligence for the engineering and maintenance office. Technical drawings, engineering PDFs, equipment manuals and service records become a searchable knowledge layer rather than an archive. Purchase orders are checked against the specification automatically, with exceptions raised to engineering and procurement before the order is committed. The same knowledge layer feeds condition-based maintenance planning.
Who it is for
Engineering Head · Maintenance Manager · Procurement Lead · Reliability Engineer
Impact
Manual drawing and PO review effort cut 70–80%, with specification mismatches caught before procurement commits spend. Maintenance teams retrieve equipment knowledge in seconds rather than searching archives.
Intelligent Document & Compliance Automation
The hospital back office turned into a revenue engine.
The problem
Insurance documentation, vendor invoices, procurement records and compliance reports arrive in volume and are matched to the right patient, vendor or case by hand. Denials accumulate, leakage goes unnoticed, and four to six full-time roles are consumed by the work.
The solution
Back-office document handling that runs itself. Medical invoices, claims and procurement records are read, categorised, matched to the right patient, vendor or case, and routed — with reconciliation exceptions reported rather than discovered later as a denial. Because it is built on engines already proven in our banking deployments, time to value is measured in weeks rather than quarters.
Who it is for
Revenue Cycle Head · Hospital Finance Controller · Claims Manager · Procurement Head
Impact
Around 445% three-year ROI with seven-month payback and $100K a year in net savings, automating four to six full-time roles of administrative effort.
Working deployments, not mock-ups
Grouped by sector, each one a system in operation.
Healthcare
Manufacturing
Finance
HR
Why Choose Skymeric Technologies?
In-Firewall Deployment
Documents, transactions, patient records and video telemetry remain inside your perimeter. Residency and sovereignty requirements are supported.
Auditable by Design
Every automated decision is logged with its inputs and confidence score, so an auditor, a credit committee or a clinical governance board can review it.
Production Experience, Not Pilots
Each of these systems has been deployed, measured against a real baseline and rebuilt as a repeatable pattern.
Shared Engines, Compounding Return
Extraction, forecasting and vision engines are reused across the portfolio, so the second and third deployments land faster and cost less than the first.
Integrated With What You Run
SAP, Tally, core banking, HIS, PLC, MES and SCADA. The solution sits inside your process rather than running alongside it.
Partner-Backed Infrastructure
NVIDIA Inception and HPE ISV OEM partner, with DGX and Jetson-class deployments sized to the workload.
Our Approch
Enterprise AI projects rarely fail on the model. They fail on where the data is permitted to sit, on whether the output can be defended to whoever asks, and on whether anybody changed how the work actually gets done. We deploy coordinated agents on infrastructure inside your perimeter, with confidence thresholds, human review on exceptions and full decision traceability — then we measure the result against the baseline you had before we arrived.