Services
AI / ML Development Company
Custom AI and machine learning solutions from prototypes to production. Models, data pipelines, and integrations built for outcomes.
Somykida is an AI/ML development partner for teams that need production-grade intelligence, not slideware. We design, train, integrate, and operate models that improve decisions, automate workflows, and support new product features.
Who it is for
Product leaders, data teams, and operators who need NLP, computer vision, predictive analytics, recommendation systems, or LLM-powered assistants grounded in their business data.
What we deliver
- Problem framing and AI feasibility assessment
- Data strategy, labeling workflows, and pipeline design
- Model development (classical ML and deep learning)
- LLM application design with retrieval and guardrails
- API integration into your products and ops tools
- Monitoring, evaluation, and iteration plans
Our approach
- Discovery: outcomes, constraints, data reality
- Prototype: thin vertical slice with measurable success metrics
- Productionize: reliability, security, cost controls
- Operate: monitoring, feedback loops, continuous improvement
Technology & practices
We select stack to fit your environment, Python ML ecosystems, cloud AI services (AWS, Azure, GCP), vector search, and integration with Node/React or existing backends. Security, privacy, and cost are designed in from day one.
Proof & outcomes
Clients engage us when generic AI tools plateau. We focus on measurable KPIs: accuracy, latency, adoption, and business impact, not model novelty for its own sake.
Frequently asked questions
Can you work with our existing data warehouse?
Yes. We integrate with common warehouses, lakes, and operational DBs, and will flag data quality risks early.
Do you only use one cloud AI vendor?
No. We are stack-agnostic and recommend the path that fits compliance, cost, and speed.
How do you handle hallucinations in LLM apps?
Retrieval grounding, evaluation harnesses, human-in-the-loop where needed, and clear UX that avoids over-trust.
What does a typical AI engagement cost?
Depends on scope from focused prototypes to multi-quarter platforms. Book a call for a scoped estimate.
Related
Next step: Book a call with product and engineering leadership. Response within 24 hours, NDA available. Prefer writing? Use the contact page.
Engineering craft
Custom product and software services
Let’s find the right engagement
Whether you need a product built, a GEO/SEO growth hub, or B2B lead systems. We start with a clear conversation, not a hard pitch.
- Reply within 24 hours
- NDA available
- Honest scope before commitment