Private equity work needs a CRM that handles deal flow volume, diligence workstreams, portfolio reporting intake, and LP relationship cadence. Strkr ships each as a working surface with AI drafting that respects deal confidentiality.
Choosing a PE CRM is a long cycle decision. The firm has to balance deal flow volume, diligence depth, portfolio reporting intake, LP relationship cadence, and compliance posture against the spreadsheet reality of what most firms actually run on today. The six pain points below are what Strkr onboarding hears on every intake call with a PE firm evaluating a CRM upgrade.
Most PE firms under $1B AUM run deal flow in a shared Google Sheet. The Sheet has 1,800 rows, 24 columns, three conditional format rules, and a reality where nobody except the deal associate knows the data model. Strkr deal flow pipeline replaces the Sheet with a first class deal object with source, thesis fit, stage, revisit date, and Strkr AI screening summary on inbound.
The purpose built PE CRMs (Dynamo, Backstop, DealCloud, Allvue) ship with institutional features and dated interfaces. Pricing stacks past $280 per seat loaded with implementation fees. Strkr Scale at $119 per seat ships the same institutional posture with modern UX and the open API tie into the data stack.
Active diligence runs commercial, financial, legal, technical, management, and environmental in parallel. Each lead keeps their own folder structure. The deal partner has to chase status across the six. Strkr diligence workflow consolidates the six workstreams into one deal view with per workstream task list, document attachments, and status.
The investment committee memo is the key deal document. Writing it takes 42 hours per deal across the deal partner, deal associate, and VP time. Strkr AI drafts the IC memo first draft from the diligence workstream outputs with business summary, investment thesis, financial model summary, diligence findings per workstream, risks, structure, and recommendation. The team tunes two to three paragraphs. Prep time drops to about four hours.
A PE firm with 11 portfolio companies receives monthly reporting from each. The format is inconsistent. The partner spends 14 hours per month compiling the roll up. Strkr standardizes the monthly template, Strkr AI drafts the variance narrative per company, the partner runs the aggregate roll up in two hours.
Institutional LPs (pensions, endowments, insurance, sovereign wealth) increasingly expect LP portal transparency with capital account statements, portfolio detail, and quarterly reports available on demand. Strkr LP data room workflow generates the LP communications with AI drafting and delivers through a branded LP portal with audit log tracking every delivery.
The nine cards below are the capability map a PE CRM has to cover. Each is a working surface in Strkr that lands in the default configuration.
The deal flow pipeline tracks every intro with source, thesis fit score, screening status, and revisit date. The pipeline scales to tens of thousands of deals with pipeline board load time under 400 milliseconds. Strkr AI drafts the screening summary on inbound.
Six workstreams (commercial, financial, legal, technical, management, environmental) with per workstream task list, document attachments, and status. The aggregate diligence status surfaces on the deal card. The deal partner sees red, yellow, green per workstream.
Strkr AI drafts the IC memo from the diligence workstream outputs with business summary, investment thesis, financial model summary, diligence findings, risks, structure, management team assessment, and recommendation.
The portfolio reporting intake standardizes the monthly template across every portfolio company. Strkr AI drafts the variance narrative per company. The partner runs the aggregate roll up in two hours instead of 14.
The LP relationship cadence tracks last touch, next scheduled touch, LP commitment history, and Strkr AI drafted touch point suggestions tailored to the LP interest areas (sector focus, geographic focus, portfolio types).
The fundraising pipeline tracks each LP in the raise with status (introductory, warm, diligencing, committed, declined), commitment range, diligence request list, and next scheduled action. The managing partner runs the raise from this surface.
Strkr generates capital call notices, distribution notices, quarterly reports, and side letter administration with AI drafted copy. The fund administrator reviews and sends through a branded LP portal with the audit log capturing every delivery.
The audit log captures every record read, record write, email send, document access, and AI call with 90 day default retention tunable per tenant to the SEC Private Fund Adviser retention ceiling of 5 to 7 years.
Strkr publishes OpenAPI spec, GraphQL schema, and HMAC signed outbound webhooks. The firm fund administration tool (Juniper Square, Carta, SS and C), portfolio accounting tool (iLEVEL, eFront), and relationship intelligence tool (Affinity, 4Degrees) tie in through standard integrations.
A mid market PE firm sees 1,200 to 2,400 deal intros per year. 90 percent of them go nowhere. The firm still has to track them, know the pass reason, remember the intermediary context, and know when to revisit. Strkr deal flow pipeline is built for the volume.
Inbound deal intros from intermediaries, bankers, management teams, and referrals land in Strkr through email forward, inbound webhook, or manual entry. The deal object is created with source, intermediary context, business overview, and initial thesis fit scoring. Strkr AI drafts the screening summary.
The firm thesis criteria (sector focus, EBITDA size range, geographic focus, situation type) run as a configurable workflow. Each inbound deal scores on the thesis fit. Low scores flag for auto decline with Strkr AI drafted polite decline response. High scores flag for partner screening.
The partner reviews the high scoring deals in a weekly screening session. Each deal shows the Strkr AI drafted screening summary with the shape of the business, obvious risks, and recommended next action. The partner moves 12 to 24 deals through screening in two hours.
Many deals pass the thesis screen but fail the timing or structure criteria. The deal passes with a revisit date set 3, 6, 9, or 12 months out and a documented pass reason. On the revisit date the deal surfaces back in the partner view with the context intact.
The deal object tracks the intermediary source with the full attribution. The firm sees which bankers deliver the most deals per year, which deliver the best thesis fit, and which deliver the deals that close. The intermediary relationship cadence feeds the next deal flow cycle.
The deal flow pipeline surfaces sector theme patterns across inbound. Three home services deals in the past 30 days flags a theme. Strkr AI drafts a thematic memo for the partner review. The firm catches sector cycles before the broader market talks about them.
The six cards below are the reasons Strkr onboarding hears on PE firm selection decisions in 2026.
Five seeded prompts for PE work (deal screening summary, IC memo first draft, portfolio variance narrative, LP update letter, LP touch point) with retrieval scope and model class routing already configured. The buyer never picks a model.
Strkr Scale at $119 per seat per month with AI Enhancement at $49 per month covering 5,000 AI calls flat. No per deal fee, no module stack, no implementation partner retainer. A 14 partner firm runs about $1,715 per month total.
The median PE firm migration ships in 16 to 32 business days end to end. The purpose built incumbents run 6 to 12 month implementations with heavy partner fees. Strkr onboarding runs the implementation inside the first year subscription.
OpenAPI spec, GraphQL schema, HMAC signed webhooks. Juniper Square for fund admin, iLEVEL for portfolio accounting, Affinity for relationship intelligence, Carta for cap table all tie in through standard integrations.
Audit log at 90 day default retention tunable to 7 years for SEC Private Fund Adviser rules. SSO (SAML and OIDC) on Scale through Clerk. SOC 2 Type II in progress target 2026-Q4. The institutional LP diligence posture lands inside standard windows.
Modern UX with sub 400 millisecond load times across the deal flow pipeline, portfolio view, and LP relationship view. The surface works on a partner laptop, a tablet during a flight, and a phone during an airport layover.
The comparison below is Strkr Scale at $119 per seat against the purpose built PE CRM incumbents loaded at $280 to $400 per seat.
| Feature | Strkr | Purpose built PE CRM (Dynamo, Backstop, DealCloud, Allvue) |
|---|---|---|
| Deal flow pipeline | Yes with thesis fit scoring and AI screening. | Yes without AI screening. |
| Diligence workstream tracking | Six workstreams with status roll up. | Deal document room focus. |
| IC memo AI draft | From diligence workstream outputs. | None. |
| Portfolio monthly intake | Standardized with AI variance narrative. | Document attachment focus. |
| LP relationship cadence | Tracker with AI touch point suggestions. | Report based. |
| LP capital call and distribution | AI drafted with LP portal delivery. | Fund admin tool integration. |
| Open API | OpenAPI, GraphQL, HMAC signed webhooks. | Partner integration pattern. |
| Implementation timeline | Sixteen to thirty two business days. | Six to twelve months. |
| Flat per seat pricing | $119 per seat on Scale. | $280 to $400 per seat loaded. |
| Modern UX | Sub 400 millisecond load across surfaces. | Legacy UX typical. |
The playbooks below are patterns Strkr onboarding sees across PE CRM selection decisions in 2026.
An 8 partner $820M growth equity firm ran Dynamo at $240 per seat loaded. The UX was dated and the AI drafting was absent. Strkr onboarding ran a 22 business day migration with the Dynamo deal history imported through CSV export. The firm Scale subscription at $119 per seat ran about $952 per month plus $49 AI Enhancement. Monthly spend dropped 60 percent.
A 12 partner $1.4B lower middle market firm ran deal flow in a shared Google Sheet with 2,400 deals per year and inconsistent partner tracking. Strkr onboarding ran an 18 business day migration from Sheet to Strkr. The deal flow pipeline, thesis fit scoring, and partner screening workflow landed on day one. Pass with revisit tracking became a working motion for the first time.
A 24 partner $2.6B multi strategy firm ran buyout and growth equity in parallel with two different CRMs (DealCloud for buyout, Affinity for growth). Strkr onboarding consolidated to one tenant with strategy specific pipeline configurations. Each strategy kept its own view while the managing partner got the cross strategy roll up.
A 4 partner $420M emerging manager was mid fundraise for first fund with 42 institutional LPs in the pipeline. Strkr onboarding configured the fundraising pipeline, LP data room workflow, and LP relationship cadence. The managing partner ran the raise from Strkr with institutional transparency. The fund closed 18 percent above target.
A 42 partner $8.4B pan European PE firm ran a legacy CRM, Juniper Square for fund admin, iLEVEL for portfolio accounting, and Affinity for relationship intelligence. The data flow between tools was manual. Strkr onboarding consolidated the deal flow and portfolio workflow into one surface with Juniper Square, iLEVEL, and Affinity staying through API integration.
Book a 30 minute call. We will walk through the deal flow pipeline, the diligence workflow, the portfolio reporting intake, the LP data room, and the compliance audit log with your firm structure.
Strkr matches or exceeds the institutional feature set (deal flow pipeline, diligence workstream tracking, portfolio reporting intake, LP relations, fundraising workflow, LP data room, audit log) with modern UX, AI drafting across the workflow, and open API posture that the incumbents often gate. Pricing lands 50 to 75 percent below loaded cost on Dynamo, Backstop, DealCloud, or Allvue. For firms running Affinity for relationship intelligence Strkr pairs cleanly with Affinity staying as the warm introduction signal feed through webhook integration.
The median PE firm migration ships in 16 to 32 business days end to end. The sequence is 3 to 5 days of discovery (deal flow workflow review, portfolio reporting intake, LP relationship inventory, fundraising workflow if active), 5 to 8 days of schema setup (deal, portfolio company, LP relationship, fund, diligence workstream, IC configuration), 7 to 14 days of pilot with the partner team running the live motion, and 2 to 5 days of full firm cutover. For firms with active fundraise mid migration Strkr onboarding sequences the fundraising workflow first and the portfolio workflow second to avoid disrupting the raise.
Strkr is GDPR and CCPA compliant today, HIPAA with BAA available on request, and SOC 2 Type II in progress with target 2026-Q4. The audit log captures every record read, record write, email send, document access, and AI call with 90 day default retention tunable per tenant to the SEC Private Fund Adviser retention ceiling of 5 to 7 years. SSO (SAML and OIDC) is live on Scale tier through Clerk, MFA with TOTP and text based verification is live across all tiers. Integration tokens live in AWS KMS, platform credentials live in AWS Secrets Manager.
Strkr AI runs with retrieval scope strictly scoped to the deal, portfolio company, or LP context by default. Cross deal retrieval is disabled unless the admin explicitly enables it for a workflow type. The AI calls do not train on tenant data. The audit log captures every AI call with timestamp, context, and user for compliance review. For firms with heightened confidentiality requirements the retrieval scope can tighten further to exclude specific field types or specific deal records.
Yes. Strkr integrates with every major PE adjacent tool through its REST and GraphQL API with HMAC signed outbound webhooks and a published OpenAPI spec. Juniper Square and SS and C for fund administration, Carta for cap table, iLEVEL and eFront for portfolio accounting, Affinity and 4Degrees for relationship intelligence all tie in through standard integrations. The typical pattern has Strkr owning the deal flow pipeline, diligence workstream tracking, portfolio reporting intake, and LP relations, with the specialized tools feeding data in or receiving data out through the webhook spec.
Strkr prices Starter at $29, Pro at $59, Scale at $119 per user per month with the AI Enhancement add on at $49 per month covering 5,000 AI calls flat. For a 14 partner firm (deal partners, portfolio partners, LP relations, operating partners) on Strkr Scale with AI Enhancement the monthly spend runs about $1,715. For a 24 partner firm the monthly spend runs about $2,905. Loaded cost over 36 months lands 50 to 75 percent below the comparable Dynamo, Backstop, DealCloud, or Allvue quote. The flat per seat pricing math is often the easiest part of the selection decision.
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