AI Solutions that ship
We design, fine-tune, and productionize AI systems—RAG assistants, copilots, computer vision, and predictive models—paired with solid MLOps so they keep working at scale.
- RAG & Knowledge Assistants
- Vision & Document AI
- MLOps & Monitoring
# Ask your docs
Q: "What’s our refund policy for India?"
Top chunks:
1) /policies/refund.md (2025-01) âś“
2) /country/india/tax.md âś“
Answer (grounded):
"Refunds within 7 days via original method. For India, GST forms auto-generated."# Receipt OCR → Structure
Total: â‚ą1,245.50
Store: Kodecube Mart
Items:
- USB-C Cable x2 â‚ą499
- Notebook x1 â‚ą247.5# Churn Model (XGBoost)
Top Signals:
1) Ticket backlog ↑
2) Usage ↓ wk-over-wk
3) NPS detractor
Action:
Trigger success playbook + discount offer.What We Deliver
Modular building blocks—combine for end-to-end value.
RAG Assistants
Ground answers in your docs, CRM, tickets, and wikis.
Copilots
Workflow copilots that draft, check, and automate actions.
Computer Vision
OCR, detection, quality checks, and document AI.
Multilingual NLP
Summaries, classification, translation, sentiment.
Feature Stores
High-quality features with lineage and freshness.
MLOps
CI/CD for models, evals, monitoring, rollback.
ROI quick estimate
Rough monthly impact of an AI assistant (adjust sliders).
Engagement models
Discovery Sprint
1–2 weeks: requirements, risks, data audit, solution sketch.
Pilot (POC)
3–6 weeks: a narrow solution with evals & guardrails.
Production
6–12+ weeks: infra, observability, rollout and SLAs.
AI Pod
Full-stack pod: PM + DS/ML + BE + FE.
Augmentation
Embed specialist skills into your team.
Advisory
Reviews, architecture, evals, and playbooks.
RAG vs. Non-RAG
How We Ship Safely
Short, validated steps—reduce risk, increase certainty.
Discover
Data & goals, risk map, success metrics.
Prototype
Narrow scope POC with realistic evals.
Pilot
Guardrails + A/B in a small cohort.
Scale
Infra, monitoring, SLAs, and rollout.
Governance & Safety
Controls that ship with every production AI project.
Security
SSO/JWT, signed URLs, KMS secrets, least privilege IAM.
Privacy
PII scrubbing, data retention SLAs, opt-outs.
Compliance
SOC2-friendly logs, consent, audit trails.
Guardrails
Prompt policies, safety filters, jailbreak tests.
Evaluation
Regression suites for quality/cost/latency.
Docs & Runbooks
Playbooks for ops, incident, and rollbacks.
Stack We Work With
Retrieval, vector DBs, orchestration, serving, and evals.
Let’s identify a high-ROI AI use-case.
Free 30-minute discovery + roadmap outline.