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Define the business problem, users, data and success criteria.
AI Engineering Enterprise Ready
AI Development
Services
SDLC Corp is an AI development company that builds AI applications for real business problems, designed to work inside your existing technology environment. Our AI development services cover machine learning, language AI, generative AI, intelligent automation, computer vision, document intelligence and enterprise AI applications from solution design through production deployment.
Proven AI Delivery
300+AI Deployments
3,400+Projects Delivered
400+AI Specialists
98%On Time Delivery
Trusted by Fortune Global 500 leaders, governments & top universities across 30+ countries
RecognitionAward-Winning
Award-Winning
AI Engineering
Recognized for enterprise AI delivery and custom artificial intelligence development.
Top AI Development Company by Selected Firms
Top AI App Developers by C2C Reviews
Top IT Consulting, SI & Managed Services Company by ITRate
Top Software Development Company by Selected FirmsTop AI Solutions Provider for Enterprises, 2025 Read the announcement
Recognized by Selected Firms, C2C Reviews and ITRate.
CapabilitiesCustom AI
Custom AI
Development Services
Build AI around your business workflows, data and users rather than forcing your operations into a generic platform.
Solutions AI Solutions
AI Solutions
We Build
AI applications designed around the decisions, information and workflows that matter to your business.
Forecast
Predictive AI
Use historical and operational data to forecast outcomes, identify risks and support better decisions.
Automate
Intelligent Automation
Automate repetitive business tasks, route requests and manage exceptions within existing workflows.
Assist
AI Assistants
Build customer-facing and internal assistants that help users work with information and software through natural language.
Extract
Document Intelligence
Extract, classify and validate information from invoices, forms, contracts and other business documents.
Decide
Decision Intelligence
Build decision-support tools that prioritize cases, recommend actions and flag exceptions for review.
Embed
AI-Enabled Products
Embed intelligent search, recommendations and automation directly into customer-facing software and digital products.
ProcessFrom AI Idea
From AI Idea
to Production
Every project ends with a system that works in production, not only a prototype.
- 01
- 02
Design
Select the appropriate AI approach and define the application architecture.
- 03
Build
Develop the models, application services and required interfaces.
- 04
Integrate
Connect the solution with existing systems, data and workflows.
- 05
Evaluate
Test quality against representative business scenarios.
- 06
Deploy
Release the application into the required environment.
- 07
Improve
Monitor performance and refine the system using production evidence.
ArchitectureAI Development
AI Development
Architecture
Every production AI application is built from connected layers, from the business interface to monitoring.
Business Application Integration Layer AI Capability Data Validation Workflow Monitoring
Application Layer
Deliver AI through websites, enterprise software, mobile applications, internal portals or APIs.
AI Layer
Use the appropriate model or AI service for the specific workload.
Data Layer
Provide approved business information required by the application.
Integration Layer
Connect AI with CRM, ERP, databases, APIs and other operational systems.
Validation
Apply deterministic rules, confidence thresholds and human review where needed.
Monitoring
Track operational quality, latency, failures, usage and business outcomes.
See MLOps services By Function AI Development
AI Development
by Function
Apply AI to high-value workflows across business teams, from operations and finance to customer-facing products.
Optimize
Operations
Identify process bottlenecks, prioritize operational exceptions and improve resource planning.
Analyze
Finance
Support cash-flow forecasting, anomaly detection, financial reporting and invoice review.
Support
Customer Service
Assist with customer inquiries, classify support tickets and route complex requests to the right teams.
Convert
Sales
Improve lead qualification, account research, opportunity scoring and CRM updates.
Resolve
IT
Support IT ticket triage, incident summaries, service desk workflows and internal knowledge access.
Innovate
Product Teams
Deliver personalized recommendations, intelligent search and AI-assisted features within digital products.
By IndustryAI Development
AI Development
by Industry
Build AI for the operating requirements of your industry.
Finance
Financial Services
Fraud detection, risk scoring, document intelligence and controlled AI workflows. Payment workflows can be designed around applicable PCI DSS requirements.
Health
Healthcare
Administrative automation, document processing, intelligent assistance and operational AI. HIPAA-aligned controls can be applied where US healthcare data is involved.
Logistics
Logistics
Shipment intelligence, document automation, forecasting and operational decision support.
Industry
Manufacturing
Visual inspection, predictive maintenance, technical assistance and process intelligence.
Commerce
Retail and E-Commerce
Recommendations, forecasting, customer experience and generative content.
Impact
Nonprofits and NGOs
AI-enabled ERP, workflow automation, reporting and organizational productivity.
StackAI
AI
Technology Stack
Choose models, frameworks and infrastructure to fit the workload and deployment environment.
AI and Machine Learning
Where the modelling happens
PythonPyTorchTensorFlowscikit-learnHugging Face
Language AI
Model families we build on
OpenAIClaudeGeminiLlamaMistral
AI Engineering
How capability becomes an application
LangChainLangGraphFastAPINode.jsREST APIs
Data
Where business information lives
PostgreSQLMongoDBSnowflakeDatabricks
Infrastructure
Where it runs
AWSMicrosoft AzureGoogle CloudDockerKubernetes
Portfolio
AI Systems in Production
Four AI projects delivered by SDLC Corp, from document intelligence to call routing.
4 projects
01 / 04 Case Study
Document Intelligence SDLC Corp
Global Logistics
An AI workflow extracts data from invoices and shipping documents, flags fields for human validation and sends approved records into enterprise systems.
48 hrs to 4 hrsDocument processing time at Transworld Logistics
- Unstructured PDFs
- Key field detection
- Human-in-the-loop validation
- ERP integration
02 / 04 Case Study
AI Virtual Staging SDLC Corp
Interior Design Platform
A generative AI platform lets users try furniture, flooring, wall finishes and lighting in photographs of real rooms, with scale-aware placement.
~25 secPer render, down from 4 to 12 hours of manual 3D work
- Image understanding
- Inch-accurate scale
- Furniture placement
- Wall and floor finishes
03 / 04 Case Study
Natural Language Call Intake SDLC Corp
Pulastya AI
Pulastya AI interprets caller intent, answers from client-approved documents and routes requests to the right team, passing the transcript and summary on human transfers.
Call triage moves off the front desk, and staff receive the transcript and summary with every transfer.
- Intent classification
- Structured request capture
- Workflow routing
- Human handoff
04 / 04 Case Study
SDLC Product Showcase SDLC Corp
Data AI Ninja
Data AI Ninja classifies uploaded documents, extracts structured fields and uses confidence scores to flag results for human review.
60%Faster document processing
80%Fewer manual entry errors
- Document classification
- Field detection
- Confidence scoring
- Audit log
Client StoriesWhat Clients Say
What Clients Say
About SDLC Corp
Founders, CEOs, and operating leaders share what it's like to build with SDLC Corp.
Client story
Eric Leist
CEO, Edgerton Strategies
Client story
Doug Schmidt
CEO, Roofaid USA
Client story
Reyzal Razmi
All Star Influencers
What clients say
01 / 05
Partnering with SDLC Corp was a game-changer. Their team helped us build a custom AI platform that scales effortlessly and adapts to our evolving needs. Their technical expertise and clear communication made them an ideal AI development partner from start to finish.
SDLC Corp delivered exactly what we needed: an AI-powered solution that reduced manual workload by over 60% and improved decision-making with real-time insights. Their enterprise-focused approach and AI expertise made all the difference in streamlining our financial operations.
They've quickly understood our business context, moved fast, and brought recommendations rather than questions.
Their AI consulting expertise completely transformed how we manage and predict our logistics flow.
SDLC Corp delivered cutting-edge AI development services for our supply chain optimization project in the United States.
By the NumbersAI Engineering
AI Engineering
at Scale.
The team and track record behind our AI work.
3,400+
Projects Delivered
across 12 industries
400+
AI Specialists
AI, ML and data engineers
1,200+
Global Engineers
across 6 continents
30+
Countries Served
clients worldwide
300+
AI Deployments
in production
10+ Years
of Experience
in AI and software
Why SDLC CorpWhy Choose SDLC Corp
Why Choose SDLC Corp
for AI Development
One team for the model, the application and the systems it has to live inside.
End to End
End-to-End AI Engineering
Build the model, application, workflow and integration as one production system.
Depth
Specialist AI Teams
Use dedicated expertise across machine learning, language AI, RAG, agents, vision and generative AI.
Connected
Enterprise Integration
Connect AI with the software and systems already running your business.
Right-Sized
Model Flexibility
Select commercial, open or custom models according to the workload.
Measured
Production Evaluation
Measure AI against representative business scenarios before and after deployment.
Oversight
Human Oversight
Keep people involved where judgment, authorization or accountability is required.
Security, Privacy and Responsible AI
Verify in our Trust CenterCompany AssuranceSOC 2 Type II · ISO 27001 Certified · ISO 9001 Certified
Privacy and Industry RequirementsGDPR · HIPAA · PCI DSS, where applicable
AI Governance FrameworksNIST AI RMF · ISO/IEC 42001 principles · ISO/IEC 23894 guidance
Applicability depends on geography, industry, the data processed, the deployment model, the use case and your own legal and regulatory obligations.
Project Planning AI Development Cost
AI Development Cost
and Timeline
Most AI projects move through three stages, from a proof of concept to an enterprise platform. Budgets and timelines depend on scope, data readiness and integration needs.
AI Proof of Concept
Validate one AI use case using representative business data before committing to a larger build.
- Data feasibility assessment
- Working AI prototype
- Initial performance evaluation
Production AI MVP
Deploy a focused AI application with essential workflows, integrations and operational controls.
- AI application development
- Core business integrations
- Testing and deployment controls
Enterprise AI Platform
Scale AI across departments with enterprise integrations, governance and production monitoring.
- Multi-system AI integration
- Enterprise security and governance
- Monitoring and lifecycle management
What Affects AI Development Cost?
Data quality and availability
Model type and complexity
Integration requirements
Security and compliance scope
Infrastructure and usage
Maintenance and monitoring
Final pricing depends on scope, data readiness, integrations and compliance requirements. Infrastructure, model usage and ongoing support may be priced separately.
Before You BuildNeed AI
Need AI
Strategy First?
If the use case, architecture or investment priority is not yet clear, start with consulting before committing to implementation.
Strategy
AI Consulting Services
Assess opportunities, readiness and priorities before committing to a build.
Explore AI Consulting ServicesProgramme
Enterprise AI Development
For organization-wide AI programs involving multiple teams and systems.
Explore Enterprise AI DevelopmentConnect
AI Integration & Implementation
For an already-defined capability that needs connecting to existing systems.
Explore AI Integration & Implementation ResourcesAI Development
Explore all articlesAI Development
Resources
Plan data readiness, production deployment and ongoing model monitoring.
ProductionHow to Move AI Pilots into Production
A practical sequence for taking a working pilot through to a system that runs reliably in production.
Read Article
Data ReadinessEnterprise AI Data Readiness and Production Planning
How to judge whether your data, governance and integration are ready before an AI system goes live.
Read Article
MonitoringAI Model Monitoring in Production: Drift, Bias & Alerts
What to watch once a model is serving real traffic, from drift and bias to alerting thresholds.
Read Article Get StartedBuild Your
Build Your
AI Solution
Turn a business problem into a production AI application, from architecture to deployment.
- Architecture
- Development
- Integration
- Deployment
- Contact Us
Let's Talk About Your Project
Get expert guidance on architecture, scope, timelines, and delivery approach so you can move forward with confidence.
What happens next?
- We review your requirements
- Strategy call with experts
- Clear roadmap & estimate
- NDA Protected
- Enterprise Grade Delivery
- Global Clients
FAQ AI Development Services
AI Development Services
FAQs
Answers about AI development costs, timelines, technology, integration and deployment.
AI development services involve designing, building, integrating and deploying artificial intelligence applications for specific business needs. They can include machine learning, generative AI, computer vision and intelligent automation.
A proof of concept typically costs $25,000 to $50,000 and takes 4 to 8 weeks. A production AI MVP typically costs $50,000 to $150,000 over 8 to 16 weeks. An enterprise AI platform typically costs $150,000 to $500,000 or more over 4 to 9 months. Final pricing depends on scope, data readiness, integrations and compliance requirements.
A proof of concept typically takes 4 to 8 weeks, a production AI MVP 8 to 16 weeks and an enterprise AI platform 4 to 9 months. Timelines depend on data access, integration scope, testing and security review.
AI consulting helps organizations evaluate opportunities, feasibility and technology choices. AI development turns a defined use case into a working application through engineering, testing and deployment. Explore our AI Consulting Services.
AI development creates or customizes an AI capability and its application. AI integration connects that capability to existing software, data sources and business workflows. Many enterprise projects require both.
No. Depending on the task, traditional machine learning, computer vision, specialized models or rule-based systems may be more suitable. We choose the technology to fit the business requirements.
Yes, provided the required data is accessible, suitable for the intended use and approved for processing. Data quality, permissions and security requirements are assessed before implementation.
Yes. AI applications can connect with ERP, CRM and other enterprise systems through supported APIs and integration services. Available functionality depends on each platform's interfaces and access permissions.
Yes. Depending on the selected models and infrastructure, AI applications may run in private cloud, customer-managed or supported on-premises environments.
Evaluation uses metrics relevant to the task, such as prediction accuracy, extraction quality, response correctness, latency, task completion and human escalation. We test with representative data and failure cases.
Yes. Existing AI applications can be assessed for model quality, latency, operating costs, integrations and production reliability. Improvements depend on the findings.
Begin with a defined business problem, measurable goals and available data. The next steps are feasibility assessment, solution design, development and validation before deployment.
