Parashara AI
A specialist AI experience created to make structured astrological knowledge more accessible, focused and conversational.
View system ↗Engineer / Service
AI Agents and Knowledge Systems
Specialist conversational agents, knowledge retrieval and human-reviewed domain intelligence built around real work.
Start a projectThe problem
General-purpose AI often loses the context, sources and operating rules that specialist work depends on. A useful agent needs bounded knowledge, clear workflows and a way to evaluate what it produces.
Who this is for
A focused fit for teams with a real system to clarify.
- Expert-led businesses with valuable, fragmented knowledge
- Teams handling repetitive research or support work
- Organizations that need source-aware internal assistance
- Founders testing a focused AI product
What Lachesis builds
Typical deliverables
01
Agent and workflow architecture
02
Retrieval systems and knowledge bases
03
Internal and client-facing assistants
04
Source-aware response design
05
Evaluation, guardrail and review systems
06
Deployment and operating documentation
Process
From useful definition to working system.
- 01
Define the task, users, risk and acceptable boundaries
- 02
Structure sources and retrieval paths
- 03
Prototype the interaction and evaluation set
- 04
Build, test and connect the agent to the working environment
- 05
Review real usage and improve reliability
Questions
Frequently asked
Can an agent use our private knowledge?
Yes, when access, privacy and retention requirements are defined first. The architecture is selected around the sensitivity and ownership of the source material.
Do you fine-tune models?
Only when the use case and evaluation evidence justify it. Many specialist systems are better served by retrieval, strong workflows and careful evaluation before model customization.
Can the agent replace a professional?
No such claim is made. High-stakes or specialist systems should support qualified human judgment, preserve appropriate source context and make their boundaries clear.
Next / Start a project
Build a better ai agents and knowledge systems.
AI, software, a digital experience or worldwide relevance—from the first line of code to the story people discover.