01
Enterprise web applications
Operational systems that hundreds of people depend on daily — typed end to end, server-rendered, and fast under real load rather than in a demo.
Enterprise Software Studio · Hyderabad, India
Engineering digital systems built to scale.
We are a senior product & engineering team building enterprise platforms, ERP systems, mobile ecosystems and AI products — designed for reliability, performance and scale from day one.
Active
2.4k
Revenue
$1.2M ▲
Latency
42ms
req/sp95
Field Ops
v3.1 · synced
Today
128 tasks
Completed
94%
infrastructure
Auto-scaling cluster
14 nodes healthy
Scroll
ERP PlatformsMobile EcosystemsAI ProductsSaaS InfrastructureCloud ArchitectureEnterprise Software
ERP PlatformsMobile EcosystemsAI ProductsSaaS InfrastructureCloud ArchitectureEnterprise Software
Track record
Measured by what we ship.
0+
Systems delivered
across 9 industries
0+
Clients partnered
startup → enterprise
0
ERP platforms
in production
0%
Uptime sustained
SLA-backed systems
Capabilities
Three things we do better than anyone.
Our work concentrates where it compounds. These are the disciplines we lead with — the rest of the stack supports them.
02
SaaS infrastructure
The layer underneath a subscription product: multi-tenancy, billing, usage metering, observability and deploys that don't require a maintenance window.
03
Product design
Interfaces designed and engineered by the same team, so what gets drawn is what ships — design systems, accessibility and motion included.
ALSO IN SCOPE
Selected work
Systems we engineered.
A look at platforms built to carry real operational load. The interfaces below are representative reconstructions — client screens are under NDA.
Case 01 · Enterprise ERP
A unified ERP for a multi-region distributor.
Replaced a tangle of spreadsheets and legacy tools with one platform spanning inventory, finance, procurement and field operations — event-driven, multi-tenant, and built to add regions without re-architecture.
Open orders1,284
Stock value₹42.6Cr
Fill rate97.4▲
Events / min2,210
Throughput by region · last 14 days
Purchase orderRegionValueStatus
PO-2026-8841 · Vendaxa MillsWest₹18.2LApproved
PO-2026-8839 · Hindla PackagingSouth₹6.4LIn review
PO-2026-8836 · Orbit ComponentsNorth₹31.9LApproved
11modules unified
3.2Mrecords / day
−63%manual ops time
4regions live
Case 02 · Mobile Ecosystem
An offline-first field ops app
for 4,000 agents.
A cross-platform mobile system with conflict-free offline sync, role-based workflows and a real-time supervisor console — engineered so a dropped connection never costs a day of work.
Suresh KalyanKukatpally · 12 of 14 tasksSynced
Anita BoseGachibowli · 9 of 11 tasksSynced
Vikram IyerMedchal · 6 of 13 tasksOffline 22m
Fatima SheikhUppal · 14 of 14 tasksSynced
Joseph MathewShamshabad · 4 of 10 tasksSynced
Field Opsv3.1
Current taskSite 84 · Meter audit
NextSite 91 · Install check
Completed today12 of 14
3 records queued offline · will sync on reconnect without conflict
4k+daily field users
0data-loss incidents
4.8★store rating
Flutter · GraphQL · CRDT Sync · Kubernetesstack
ASKWhich trials reported adverse events above 4%?
Nakamura et al. · 2024 · p.14 of 38
Extracted fields
Cohort size1,204 participants
0.97
Adverse events4.8% (58 cases)
0.91
Primary endpointMet at 24 weeks
0.78
ApproveFlagEdit
Case 03 · AI Platform
A document-intelligence engine for research teams.
An AI platform that ingests, structures and reasons over large scholarly corpora — retrieval-augmented pipelines, human-in-the-loop review, and an audit trail enterprises can actually trust.
1.4Mdocs indexed
<2smedian query
96%extraction accuracy
How we build
From strategy to scale.
STAGE 01 / 07
How we work together
Three ways to engage us.
Most engagements start around $15k. Scope, timeline and team shape are set in a paid discovery week before anyone commits to a number.
MODEL 01from $15k
Fixed-scope project
A defined system, a fixed price, a fixed date. Best when the problem is well understood and you need a specific thing delivered.
- Scope locked after discovery
- Milestone-based invoicing
- 6–16 weeks typical
MODEL 02monthly
Dedicated team
A senior squad working only on your product, month to month. Best for building and evolving a platform over quarters, not weeks.
- 2–5 senior engineers plus design
- Weekly demos, shared roadmap
- Rolling 30-day terms
MODEL 03per engineer
Team extension
Our engineers embedded in your existing team, your process, your board. Best when you have the direction and need capacity.
- Works inside your sprints
- Ramp-up in under two weeks
- Scale up or down quarterly
WHAT YOU GET IN WRITING
You own the codeYour repositories, your infrastructure accounts, from commit one. No lock-in, no proprietary layer.
Weekly demosWorking software every week, not status decks. You see progress before you're asked to trust it.
Full repo accessYour team is in the codebase throughout — review our commits, run our CI, audit as we go.
30-day launch supportPost-release stabilisation included on every engagement. We stay through the first month in production.
Fixed-price optionOn well-scoped work, we'll commit to a number and carry the estimation risk ourselves.
NDA on requestSigned before discovery whenever you need it. Standard practice, not a negotiation.
Engineering stack
A connected technology ecosystem.
Not a logo wall — an integrated stack where every layer is chosen to work with the next. Hover a node to trace its connections.
AI engineering
AI built into the product,
not bolted onto it.
We treat models as another part of the architecture — with evaluation, cost ceilings, fallbacks and audit trails designed in from the first sprint.
Agents & orchestration
Agentic workflows with real guardrails
Multi-step agents that call your systems, not just chat — built on Google's Agent Development Kit or LangGraph, with tool schemas, retries, human approval steps and a full trace of every decision.
Retrieval & grounding
Answers traceable to a source
Retrieval pipelines over your own documents and databases — chunking, hybrid search, reranking and citation-level provenance, so every output can be checked against the paragraph it came from.
Native integration
Inside the product surface
AI where the work already happens: inline drafting, structured extraction from uploads, natural-language filters over your data, and background enrichment on write — streamed, cancellable, and degrading to the plain UI when a model is unavailable.
Evaluation & safety
Shipped against a test set
Golden datasets, regression evals in CI, prompt and model versioning, PII redaction and per-tenant data boundaries. Model changes get reviewed like code, because a silent quality drop is a production incident.
Amazon BedrockManaged Claude, Llama and Titan models inside your AWS account — private VPC endpoints, provisioned throughput, guardrails, no data leaving your boundary.
Google Vertex AIGemini models, ADK agents and Agent Engine deployment, wired to BigQuery and your existing GCP data estate.
Azure OpenAIFor teams already standardised on Microsoft — Entra ID auth, private networking, regional data residency.
Self-hostedOpen-weight models on your own GPUs or SageMaker when regulation, latency or unit cost rules out an API.
Cost ceilingsPer-tenant token budgets & caching
Queue-backedAsync jobs, no request timeouts
Multi-modelRoute by task, fail over by provider
ObservableEvery call traced, priced, replayable
Why S&M
We build software the way infrastructure should be built — architected for the load you'll have in three years, not just the demo you need next week.
01
Architecture first
Every engagement starts with system design. We model data, load and failure modes before a line of product code ships.
02
Senior by default
No hand-offs to junior teams. The engineers who scope your system are the ones who build and own it in production.
03
Performance as a feature
Latency budgets, load targets and observability are written into the spec — not bolted on after launch.
04
Product thinking
We push back on requirements that won't serve users. Good engineering starts with the right thing to build.
05
Built to be handed over
Documented, tested, observable systems your team can own — we engineer for the day we're no longer in the room.
06
Long-term partners
Most of our work is repeat engagements. We optimise for the relationship, not the invoice.
Start a project
Tell us what
you're trying
to build.
We'll come back with an architecture sketch, a delivery plan and the team that would build it — not a generic proposal.
hello@smscholarly.com
Plot 30, Journalist Colony, Somajiguda, Hyderabad 500082 · India
✓
Enquiry received.
A senior engineer will read it and reply within one business day. Reference —.
In the meantime, our capability overview covers stack, process and past architectures.
See how we work →