Product engineering
Frontend, backend, databases and API design for web platforms, SaaS products and internal tools.
Technologies
Modern engineering stack for AI, SaaS, cloud and operations platforms.
SakhiSoft uses proven tools and production-tested architecture to build systems that are fast to launch, secure to operate and easier to extend as your business grows.
100+
Production systems
AWS / GCP / Azure
Cloud platforms
AI, SaaS, DevOps
Core focus
Engineering capabilities
The stack is selected around the product, not fashion.
Every tool has a job: improve delivery speed, reduce operational risk, support integrations, or make the product easier to maintain.
AI systems
LLM apps, voice agents, OCR, RAG, vector search and AI-assisted workflow automation.
Cloud operations
Docker, Kubernetes, CI/CD, infrastructure, monitoring and release workflows for production reliability.
Integration engineering
Payments, healthcare systems, logistics providers, CRM tools, telecom APIs and customer portals.
Technology stack
Tools we use to build reliable digital products.
A practical stack covering user interfaces, APIs, databases, cloud, AI, payments, healthcare integrations, telecom workflows and quality practices.
Stack
Frontend Engineering
Interfaces built for speed, accessibility, maintainability and responsive product experiences.
ReactNext.jsTypeScriptTailwind CSSBootstrapTabler UI
Stack
Backend & APIs
Scalable APIs, business logic, integrations and service layers for production software.
Node.jsExpress.jsNestJSPHPLaravelPythonDjangoFastAPI
Stack
Data & Storage
Reliable databases, caching layers and search patterns for transactional and analytics-heavy products.
PostgreSQLMySQLMongoDBRedisSQL ServerVector Databases
Stack
Cloud & DevOps
Deployment, infrastructure, observability and release systems that keep products stable after launch.
AWSGCPAzureDockerKubernetesTerraformJenkinsGitHub Actions
Stack
AI & Machine Learning
Applied AI systems for document intelligence, RAG, voice agents, computer vision and workflow automation.
OpenAILLMsRAGPyTorchTensorFlowOpenCVYOLOEmbeddings
Stack
Payments & Commerce
Secure checkout, subscription billing, marketplace payments, invoicing and reconciliation workflows.
StripeRyftPaySubscriptionsWebhooksInvoicesPayment Reporting
Stack
Healthcare Integrations
Specialized integrations for pharmacy, prescription, medication, payment and logistics workflows.
NHS APIsNHS DM+DTITAN PMRDrug TariffStockRxRoyal MailDPDDHL
Stack
Telecom & CRM
Communication platforms, call automation, SMS workflows, customer portals and CRM synchronization.
Twilio3CXHubSpotGHLUISPVoIPPBXWebSockets
Stack
Testing & Quality
Automated checks, performance testing and debugging practices that protect business-critical releases.
JestMochaCypressVitestJMeterCode ReviewCI Checks
Architecture mindset
Technology decisions that survive real users.
A professional stack is more than logos. We care about deployment, ownership, observability, security and how quickly future teams can keep moving.
Choose boring where reliability matters
We prefer mature frameworks, observable infrastructure and patterns that future teams can maintain.
Design APIs before screens get crowded
Clear data models, access rules and integration contracts make products easier to scale and debug.
Automate release paths early
CI/CD, environment separation, logs and rollback planning reduce launch risk and support faster iteration.
Use AI where it improves a workflow
LLMs, OCR and RAG are most useful when connected to permissions, review flows, source data and measurable outcomes.
Integration ecosystem
Experience connecting products to the systems businesses already use.
From healthcare and telecom to payments, logistics and CRM automation, we build software that fits into the wider operating environment.
OpenAI
AWS
Stripe
RyftPay
Twilio
3CX
HubSpot
UISP
Shippo
Canada Post
Royal Mail
NHS
TITAN PMR
Docker
Kubernetes
Redis
Technical discovery
Not sure which stack fits your product?
We can review your business goals, current systems, integrations, team capacity and launch timeline, then recommend an architecture that makes sense for the next stage.