What AI solutions does Oligamy build?

Custom AI features and ML-backed products, AI agents that automate multi-step tasks, and AI chatbots for support, sales and internal workflows.

Does Oligamy build AI agents and agentic AI?

Yes. Oligamy designs AI agents and agentic systems that plan and execute tasks with tools and guardrails, tailored to a client's processes.

How does an AI project with Oligamy start?

With discovery of the use case and data, a feasibility and scope assessment, then iterative development and integration into the client's product.

Develop products

Your partner in AI solutions & LLM

We deliver advanced Generative AI and Machine Learning solutions focused on real operational impact. Oligamy Software engineers custom systems rather than selling generic products. Our scope includes LLM integration (OpenAI, Anthropic, open source), RAG pipelines, and bespoke predictive models built on client data. We cover semantic automation, forecasting, MLOps, observability, and stack integration automation, lower costs, faster execution, and safe, compliant operation.

Generative AI & ML solutions delivered by Oligamy Software

01

Generative AI Strategy

We define use cases tied to KPI, audit your data, constraints, and risks. Prioritized backlog for Generative AI, LLM, and predictive initiatives with clear acceptance criteria.

02

Model Selection & Architecture

We compare LLMs (managed APIs vs open source) and ML frameworks. We choose the right toolchain for your domain based on cost, latency, privacy, and grounding requirements.

03

Prototype deployment

We ship a thin path (API or lightweight UI) to validate quality, hallucinations, throughput, and operations. RAG, prompt flows, and guardrails connected to your systems. Pilot metrics + best recommendations for production.

04

Optimization & Scaling

We tune cost/quality, add eval sets and monitoring, set safety filters and retraining loops. We provide a production plan that scales your GenAI solution with Oligamy Software as your delivery partner.

How Oligamy Software delivers Machine Learning in production

01

Data Discovery & Feasibility

We analyze your raw datasets for quality, completeness, and predictive power. We define target variables (what to predict) and establish baseline metrics.
Output: Data audit report, feasibility study, and defined success metrics (RMSE, Accuracy, F1-score).

02

Feature Engineering & Modeling

We clean data, select relevant features, and experiment with various algorithms (Regression, XGBoost, Neural Networks) to find the best fit. We balance complexity with interpretability.
Output: Trained candidate models, feature importance analysis, and initial validation results.

03

Validation & Stress Testing

We test the model against unseen data (hold out sets) to prevent overfitting and ensure generalization. We simulate edge cases and assess performance under load.
Output: Model performance report, error analysis, and ready to deploy model artifacts.

04

Deployment & MLOps

We containerize the model, set up inference pipelines (batch or real time), and implement drift detection to monitor model degradation over time.
Output: Production API, monitoring dashboard (Data Drift), and automated retraining pipelines.

AI & LLM solutions included by Oligamy Software

Process automation

LLM agents and workflows that reduce manual effort, errors, and lead times.

Customer experience

Personalization, recommendations, and dynamic content powered by AI solutions & LLM.

Analytics & decisioning

Pipelines, feature stores, and LLM assistants that surface trends and speed up decisions.

Automation & workflow support

Add reasoning and context automation to your software - ticket triage, document parsing, or content moderation.

AI infrastructure setup

Implement monitoring, evaluation, prompt management, and retraining pipelines to make LLM stable and measurable in production.

Custom solution for LLM project

Every project is different - we design and ship tailored AI & LLM implementations that fit your stack and users, using trusted technologies, not proprietary products.