Service 06
INTELLIGENCE EMBEDDED IN THE PRODUCT.
Solynx ships practical intelligence: RAG pipelines, copilots, and automation embedded in products your teams already use - with monitoring, fallbacks, and clear success metrics.
Problem
The friction we remove.
AI demos impress in slides but fail in production without data quality, evaluation frameworks, and human oversight. Hype without guardrails creates liability.
Solution
How Solynx approaches it.
Solynx ships practical intelligence: RAG pipelines, copilots, and automation embedded in products your teams already use - with monitoring, fallbacks, and clear success metrics.
Capabilities
What we deliver.
- LLM-powered copilots and conversational interfaces
- Document intelligence and extraction pipelines
- Predictive models for forecasting and scoring
- Process automation with human-in-the-loop review
- RAG systems grounded in proprietary knowledge
- Model evaluation, observability, and cost controls
Stack
Technology we use.
Process
How engagement flows.
Discover
Goals, users, constraints, and success metrics.
Design
Experience, architecture, and delivery plan alignment.
Build
Iterative sprints with demos and measurable progress.
Launch and grow
Stabilize, measure, optimize, and expand.
Benefits
Outcomes that compound.
- AI features users trust because outputs are traceable
- Reduced manual review time on high-volume document workflows
- Decision support that improves with feedback loops
- Infrastructure that scales cost predictably with usage
Use cases
Where this service fits.
- Support copilots trained on internal knowledge bases
- Contract and invoice processing at scale
- Demand forecasting for inventory teams
- Intelligent search across fragmented enterprise data
Portfolio
See it in practice.
Explore Atlas Insight and related work in our portfolio - proof that this capability ships in production, not just in decks.
View Atlas Insight All projectsFAQ
Questions we hear often.
We default to RAG and prompt engineering for faster iteration and easier updates. Fine-tuning is considered when domain specificity and volume justify it.
We design for least-privilege access, encryption in transit and at rest, and deployment options that keep sensitive data within your boundary when required.
We define baseline metrics before build - handle time, error rate, or throughput - and report against them post-launch.
More questions? Email support@solynx.in.
Next step
READY TO SHIP AI THAT WORKS?
Tell us where you are. We will help you engineer what comes next.