AI Solutions & Automation
LLM features, machine learning, and workflow automation that are safe to put in production.
In short
OSTORDEV AI Solutions designs and ships LLM-powered assistants, document automation, and machine learning models connected to your existing systems. Every feature launches with an evaluation suite, guardrails, monitoring, and a rollback path. AI projects start from $500 for a scoped proof of concept.
Starting from $500
Updated
What's included
AI assistants & chatbots
Retrieval-augmented (RAG) assistants that answer from your own documents and cite their sources.
Document & data extraction
Invoices, contracts, and forms turned into structured data with human review for low-confidence fields.
Workflow automation
Agents and integrations that remove repetitive steps across email, CRM, ERP, and spreadsheets.
Predictive models
Forecasting, scoring, and classification models trained on your data and served through an API.
Evaluation & guardrails
Golden datasets, regression tests, and safety checks, as described in our AI production checklist.
Privacy by design
PII redaction, data residency options, and access controls reviewed with our security audit team.
What you receive
- Working AI feature integrated into your product or workflow
- Evaluation dataset and automated quality report
- Monitoring dashboard for cost, latency, and quality
- Prompt, model, and data documentation
- Rollout plan with feature flags and fallback logic
Technologies we use
- Python
- LLM APIs
- RAG
- Vector databases
- LangGraph
- FastAPI
- MLflow
Who it's for
Customer support
Assistants that resolve common questions and hand off complex cases with full context.
Back-office operations
Automated data entry, document classification, and reporting for finance and operations teams.
Product features
Smart search, recommendations, and summarization embedded in your web or mobile app.
How we deliver
- 1
Use-case selection
We rank ideas by value, feasibility, and risk, then pick one with measurable success criteria.
- 2
Proof of concept
A 2 to 4 week prototype evaluated on your real data, not a demo dataset.
- 3
Production build
Integration, guardrails, monitoring, and human-in-the-loop review where risk is high.
- 4
Operate & improve
Monthly quality reviews, model updates, and cost optimization.
Frequently asked questions
How do you make AI answers reliable?
We ground answers in your data with retrieval, test every change against an evaluation set, and add guardrails and human review for high-risk outputs. Our AI production readiness article explains the full checklist.
Is my data used to train public models?
No. We use enterprise API terms or self-hosted models that do not train on your data, and we minimize and redact personal data before it reaches any model.
How much does an AI project cost?
A scoped proof of concept starts from $500. Production rollouts are priced after the proof of concept, once accuracy, volume, and integration needs are known.
Which AI models do you use?
We are model-agnostic. We benchmark leading commercial and open-weight models on your task and choose the one with the best balance of quality, latency, cost, and data-residency requirements.
Related products
Cloud & DevOps
Cloud architecture, migrations, CI/CD pipelines, containers, and cost optimization.
Security Audit
Web and mobile app security testing, cloud configuration review, and remediation support.
IT Consulting
Architecture reviews, technical due diligence, AI strategy, build-vs-buy decisions, and roadmaps.
Let's scope your project
Send us your goals and constraints. You will receive a written proposal with scope, timeline, and budget within 48 hours.
Request a proposal