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Work

Problems solved, with the numbers to show it.

Selected projects with measured results. Client names are under NDA. Exploring something new? See our solution blueprints.

Public servicesCase study

Multilingual voice helpline assistant

41%calls fully resolved
11.4%word error rate
180 msp95 response
The full story
  • BeforeCallers waited on hold for questions agents answered dozens of times a day.
  • FixSpeech recognition tuned on local accents in each language, a RAG knowledge base, hand-off to humans.
  • 41%: Simple questions no longer wait for an agent.
  • 11.4%: About 9 in 10 words right, measured on held-out calls.
  • 180 ms: 95 of 100 replies are faster than this. No awkward pauses.
Voice AIRAGTelephony
FintechCase study

Policy and compliance assistant

6×faster answers
100%answers cited
0data leaves tenant
The full story
  • BeforeCompliance searched hundreds of PDFs to answer regulators and customers.
  • FixA cited RAG assistant with role-based access and evals on every release.
  • 6×: No more searching hundreds of PDFs by hand.
  • 100%: Every answer points to its source, so it can be checked.
  • 0: Documents stay inside the client's own environment.
RAGAgentsSecurity
ManufacturingCase study

Defect detection on a textile line

94%defect recall
−35%buyer returns
30 fpson edge device
The full story
  • BeforeManual inspection missed fabric defects at line speed.
  • FixEdge cameras running a compressed detection model. Alerts go to the supervisor's tablet.
  • 94%: Catches 94 of every 100 defects on the line.
  • −35%: Fewer shipments sent back by export buyers.
  • 30 fps: Keeps pace with the line, with no cloud round-trip.
Computer visionEdge AIIoT
RetailCase study

Demand forecasting for a grocery chain

−22%food waste
−31%stock-outs
140stores covered
The full story
  • BeforeStores over-ordered perishables and ran out of staples on holidays.
  • FixStore-level forecasts with holiday and weather signals, sent as a daily order suggestion.
  • −22%: Less over-ordering of perishables.
  • −31%: Staples stay on the shelf through holidays.
  • 140: Each store gets its own daily order suggestion.
ForecastingData pipelinesDashboards
HealthcareCase study

Claims document extraction for a US billing firm

72%less manual entry
98.1%field accuracy
3 wksto first pilot
The full story
  • BeforeStaff keyed scanned claim forms and EOBs by hand.
  • FixOCR plus layout-aware extraction. People review low-confidence fields only.
  • 72%: Hand-keying was what caused the backlogs and denials.
  • 98.1%: So people only check the fields the model is unsure of.
  • 3 wks: A working pilot first, the full build second.
Computer visionLLMFastAPI
EducationCase study

Adaptive early-literacy app for rural schools

+18 ptsreading score gain
1,200+learners in pilot
Offlineworks without data
The full story
  • BeforeGrades 1–3 learned at different speeds. Teachers couldn't track each child.
  • FixOffline-first app, adaptive Urdu and English exercises, teacher dashboard.
  • +18 pts: Exercises adapt to each child's pace.
  • 1,200+: Tested in real Grade 1–3 classrooms.
  • Offline: Rural schools can use it with no connection.
EdTechMobileAnalytics
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