Our Services
Software Development and AI
Built from software roots. Trusted by enterprise.
Get a custom plan
Custom software development and marketing technology for enterprise
Oligamy Marketing is the marketing branch of Oligamy Software , a software house with deep roots in advanced application development, custom infrastructure, and enterprise grade AI. We did not learn to talk about AI. We built it.
The Difference: Our software division created a fully custom LLM for a corporate client that autonomously merged and classified tens of thousands of contracts and invoices. After the first production training instance the model reached 96% accuracy. After the second fine tuning round it reached 99%. What used to require a team of six specialist reviewers now runs unattended, freeing over 340 employee hours per month and eliminating the error rate from ~15% to under 1%.
Our LLM Development Process
Discovery and Architecture
Map document types, data flows, security boundaries, and integration points across client infrastructure.
Data Preparation and Training
Curate and structure the training corpus from client documents, configure fine tuning pipeline and accuracy baselines.
Validation and Fine Tuning
Benchmark accuracy per document category, iterate training rounds until target precision is reached and verified.
Production and Security Hardening
On premise deployment with role based access, full audit logging, and ongoing model monitoring.
Training Results
99% accuracy. From scratch.
Two training rounds on tens of thousands of real enterprise documents. The model started at 38%, hit 96% on the first production instance, and reached 99% after fine tuning on the errors it actually made. Near infallible at document merging and classification at scale.
Round 1 Accuracy
96%
First production instance
Round 2 Accuracy
99%
After fine tuning on real errors
Documents Processed
50k+
In first deployment batch
Hours Freed Monthly
340+
Employee time reclaimed
Enterprise AI Capabilities
Custom LLM Development
Purpose built language models trained from scratch on your proprietary data and document types.
Document Intelligence
Automated merging, classification, and extraction across contracts, invoices, and legal documents at scale.
Enterprise Security
On premise deployment with zero external data transmission, end to end encryption, and complete audit trail.
Process Automation
End to end document workflow automation replacing manual review across large enterprise teams.
Iterative Model Training
Multiple training rounds using production feedback loops, pushing accuracy from baseline to 99%.
ERP and CRM Integration
Connecting the LLM pipeline to existing enterprise infrastructure without disrupting current workflows.
Real Impact
What we replaced
The document processing workflow at a corporate client, before and after deployment of our custom enterprise LLM, built and trained entirely by our team.
Before
- Time per document batch8 hours
- Team required6 specialist reviewers
- Error rate~15% on complex merges
- Monthly capacity~2,000 documents
- Audit trailManual, incomplete
After our LLM
- Time per document batch12 minutes
- Team required1 quality control reviewer
- Error rateUnder 1%, 99% accuracy
- Monthly capacity50,000+ documents
- Audit trailAutomated log per query
Security Architecture
FAQ
Common questions
Our custom LLM for a corporate client reached 96% accuracy after the first production training instance and 99% after the second fine tuning round on real world document classification. Starting baseline before training was 38%. The improvement came from iterative fine tuning on actual production errors, not synthetic test data.
On premise deployment only. Zero external data transmission. The system runs entirely within client infrastructure with end to end encryption at rest and in transit, role based access control, per query audit logging, and no telemetry to third parties. Air gapped deployment is available for high security environments.
We have production experience with contracts, invoices, legal documents, and financial records. The model is trained on client specific document types and adapts to proprietary formats, internal terminology, and domain specific classification logic.
We connect the LLM pipeline to existing enterprise infrastructure via API integration. The system ingests documents from existing data sources and writes outputs back to the client's ERP or CRM without disrupting current workflows. Integration scope is mapped during the Discovery and Architecture phase.
Related Services